lead data engineer

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
Docusign is seeking a talented and results-oriented Lead Data Engineer to lead and grow the Bengaluru hub of our Global Data &amp; Analytics Organization. Your mission is to build the modern, trusted data foundation that powers Enterprise analytics, internal decision-making, and customer-facing insights. As a key leader, you will partner closely with Engineering, Product, GTM, Finance, and Customer Success to set the data strategy for Docusign India, focusing on data architecture, enterprise data foundation and data ingestion. During a typical day, you will drive the development of governed data products, operationalize quality and observability, and lead a high-performing team of data engineers and architects. The ideal candidate will demonstrate strong leadership, a passion for innovation in AI &amp; data technologies, and the drive to achieve five-nines reliability for our data platforms.</p><p></p><p><br>
This position is an individual contributor role reporting to the Director, Data Engineering.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Own Snowflake architecture, performance and cost governance; define modelling standards (star, data vault, or ELT-first) and enforce security/RBAC best practices</p></li><li><p>
Scale our DBT codebase&mdash;design project structure, modular macros, end-to-end CI/CD and automated testing so every pull-request ships with quality gates and lineage metadata</p></li><li><p>
Drive ingestion excellence via Fivetran (50 + connectors today, growing fast)</p></li><li><p>
Establish SLAs for freshness, completeness and incident response</p></li><li><p>
Embed with business stakeholders (Finance, Sales Ops, Product, Legal &amp; Compliance) to translate ambiguous questions into governed data products and trusted KPIs&mdash;especially SaaS ARR, churn, agreement throughput and IAM adoption metrics</p></li><li><p>
Lead and inspire a high-performing team of data engineers and architects; hire, coach, set OKRs</p></li><li><p>
Operationalize quality and observability using DBT tests, Great Expectations, lineage graphs and alerting so we achieve &ldquo;five-nines&rdquo; reliability</p></li><li><p>
Partner on AI initiatives&mdash;deliver well-modelled features to data scientists</p></li><li><p>
Evaluate semantic layers, data contracts and cost-optimisation techniques</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
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<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic
</b></p></div><ul><li>B.E./B.Tech. or M.S. in Computer Science, Data, or related quantitative field
</li><li>SQL and Python programming experience</li><li>
12+ years in data engineering with demonstrable success in an enterprise environment
</li><li>5+ years of experience as a people manager.
</li><li>Experience with Git-based DevOps</li></ul><div><p><b>
Preferred</b></p></div><ul><li>
Expert in Snowflake, DBT (production CI/CD, macros, tests) and Fivetran (setup, monitoring, log-based replication)</li><li>
Proven ability to model SaaS business processes&mdash;ARR/ACV, funnel, usage, billing, marketing, security and compliance
</li><li>Track record building inclusive, global distributed teams
</li><li>Adept at executive communication and prioritization
</li><li>Experience operationalizing data quality and observability using tools like DBT tests, data lineage, and alerting
</li><li>Experience partnering on AI initiatives and delivering features for data scientists
</li><li>Experience evaluating and implementing semantic layers, data contracts, and cost optimization techniques</li><li>
Experience in the financial domain, sales and marketing, accounts payable, accounts receivable, invoicing</li><li>
Experience managing work assignments using tools like Jira and Confluence</li><li>
Experience with Scrum/Agile methodologies</li><li>
Ability to work independently and as part of a team</li><li>
Excellent analytical and problem solving and communication skills</li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Lead Data Engineer

Kenvue

<div><div><div><div><div><div><div><div><p>Kenvue is currently recruiting for a:</p></div></div></div></div></div></div></div>
Lead Data Engineer [Returnship Program]<p></p><p><b>
What we do</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.</p><p></p><p><b>
Who We Are</b></p><p>
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p></p><p><b>
Role reports to:</b></p>
Manager<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Karnataka, Bangalore<p></p><p><b>
Work Location:</b></p>
Hybrid<p></p><p><b>
What you will do</b></p><p><b>
Kenvue is currently recruiting for the Returnship Program</b></p><p></p><p><b>
Lead Data Engineer</b></p><p>
This position is based at <b>Bangalore, Kenvue Global Capability Center</b>, reporting into the <b>Manager.</b></p><p></p><p><b>
About the Kenvue Returnship Program</b></p><p><b>
The Kenvue Returnship Program is a specialized initiative designed to support individuals who have had a career break of 12-36 months and are looking to return to the workforce</b>. At Kenvue, everyday care is for everyone, everywhere. We foster an inclusive and trusting workplace culture to create a sense of belonging for all, where every voice matters because our performance depends on it. We want Kenvuers to feel inspired by the growth opportunities available to shape their personal journey and be rewarded for their impact. The Kenvue Returnship Program focuses on leveraging returning talent to help build a more diverse and inclusive workforce.</p><p><b>
What You Will Do</b></p><p>
Kenvue is hiring a <b>Lead Data Engineer [Returnship Program].</b></p><p>
.Subject Matter Expert for Azure Data, Analytics &amp; AI with experience Azure architecture design preferred.
</p><p>.Good understanding of migration and modernization strategies and approaches.</p><ul><li>Helping business migrate and/or build Data, Analytics &amp; AI workloads throughout their Azure journey towards production and expanding the azure infrastructure usage.</li><li>Partnering with various Azure Engineering subject matter experts including the project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts.</li><li>Staying current on latest Azure/Cloud innovations in order to conduct experiments, drive product improvement, and act as an Azure subject matter trainer for other engineers.</li><li>Development, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related instruments/instances</li><li>Create and run complex queries and automation scripts for operational data processing</li><li>Test the reliability and performance of each part of a system and cooperate with the testing team</li><li>Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.</li><li>Responsible for setting up tools to view data, generate reports, and create visuals</li><li>Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.</li><li>Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.</li><li>As per organizational &amp; project priority responsibilities can be added later</li></ul><p></p><p>
Key Responsibilities</p><ul><li>Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
</li><li>Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
</li><li>Responsible for implementing best practices around systems integration, security, performance and data management.
</li><li>Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.</li><li>Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
</li><li>Partner with the business, IT, and technical subject matter experts to ensure execution of enterprise-wide data engineering products &amp; platform development.
</li><li>Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality.</li><li>Develop and optimize procedures to &ldquo;Productionalize&rdquo; data science models.
</li><li>Manage &amp; support large-scale experimentation done by data scientists.</li><li>Design and prototype new approaches and build solutions at scale.
</li><li>Research and cultivate in state-of-the-art data engineering methodologies.</li><li>Establish practices of documentation for learnings and knowledge transfer.
</li><li>Design and audit reusable packages or libraries
</li><li>Understanding of cloud architecture principles and best practices
</li><li>Experience in designing end-to-end solutions that meet business requirements and adhere to scalability, reliability, and security standards.
</li><li>Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines.</li></ul><p></p><p><b>
What We Are Looking For</b></p><p>
Required Qualifications</p><p></p><p>
. Required Years of Related Experience: 7-10 Years</p><p>
. Excellent understanding of ETL cycle
</p><p>&middot; Experience in the architecture and design of services using Azure architecture is added advantage &middot; Azure data engineering certification is must
</p><ul><li>Experience in using of Python/ PySpark and/or Scala for data engineering.
</li><li>Understanding of data types/ handling of different data models.
</li><li>Desirable to have experience with Spark, Kafka, Flask, Python
</li><li>Experience with the Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Synapse, Databricks, deployment of Web Application (Azure) is must</li><li>Good scripting and programming skill</li></ul><p><b>
What&rsquo;s In It For You</b></p><ul><li>
Competitive Benefit Package</li><li>
Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays &amp; More!</li><li>
Learning &amp; Development Opportunities</li><li>
Employee Resource Groups</li><li>
This list could vary based on location/region</li></ul><p>
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.</p><p></p><p>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</p></div>

Lead Data Engineer [Returnship Program]

Folio3

<div><div><p>Folio3 needs an expert Senior Data Engineer ready to drive our data strategy&mdash;from Snowflake/Databricks architecture and governance to leading complex multi-cloud migration projects.</p>
<h4 class="jobSectionHeader"><b>
Responsibilities:</b></h4>
<ul><li>Design end-to-end data architectures across Snowflake, Databricks, AWS, Azure, and GCP.</li>
Lead migration or modernization projects (on-prem cloud or single<li> multi-cloud).</li>
<li>Define data modeling standards, governance, and cost-optimization strategies.</li>
<li>Collaborate with solution architects, AI/ML teams, and business stakeholders.</li>
<li>Manage data reliability, observability, and scalability of the platform.</li>
<li>Mentor junior and mid-level engineers.</li>
<li>Stay current on modern data stack trends (Data Mesh, Lakehouse, AI Integration).</li>
</ul><h4 class="jobSectionHeader"><b>Requirements:</b></h4>
<ul><li>5-10+ years of progressive, hands-on experience in Data Engineering.</li>
<li>Design end-to-end data architectures across Snowflake, Databricks, AWS, Azure, and GCP.</li>
Lead migration or modernization projects (on-prem cloud or single<li> multi-cloud).</li>
<li>Define data modeling standards, governance, and cost-optimization strategies.</li>
<li>Collaborate with solution architects, AI/ML teams, and business stakeholders.</li>
<li>Manage data reliability, observability, and scalability of the platform.</li>
<li>Mentor junior and mid-level engineers.</li>
<li>Stay current on modern data stack trends (Data Mesh, Lakehouse, AI Integration).</li></ul></div></div>

Senior/Lead Data Engineer

ProArch

<div><p><b>About ProArch:</b></p><p>
Founded in 2006, ProArch began as a tight-knit team of business-minded IT professionals passionate about delivering exceptional cloud-based technology solutions. Today, we&rsquo;ve grown into a global force spread across US, UK and India into multidisciplinary experts spanning cloud, infrastructure, data analytics, cybersecurity, compliance, and software development. Organizations turn to ProArch for forward-thinking guidance, seamless implementation, and dependable ongoing support partnering with us to reach every milestone on the path to their vision.</p><p>
Our services consist of specific practice areas that are methodically designed to complement and enhance each other's effectiveness. This interconnected approach removes roadblocks and drives rapid growth and financial stability. Many of our clients leverage the full scope of our services, creating a supply chain of value that impacts the entire organization from IT to customer experience.</p><p>
At our core, we believe in the power of technology to transform. We&rsquo;re passionate about inspiring innovation that shapes our people, our clients, our partners, and the communities we serve.</p><p><b>
About Role:</b></p><p>
We are seeking a highly skilled and visionary Data Engineer &ndash; Technical Lead to join our growing data engineering team. This role is ideal for someone who thrives on architecting scalable data solutions, leading high-impact projects, and mentoring a team of talented engineers. You will be instrumental in designing and implementing robust data architectures and ETL pipelines across Azure and AWS platforms to support our analytics, machine learning, and business intelligence initiatives.</p><p>
Key Responsibilities:</p><ul>
<li>
Lead Data Architecture Design: Define and implement scalable, secure, and high-performance data architectures across cloud platforms (Azure and AWS).</li>
<li>Build &amp; Optimize ETL Pipelines: Design, develop, and maintain robust ETL/ELT workflows for structured and unstructured data using tools like Azure Data Factory, AWS Glue, Apache Spark, and Databricks.</li>
<li>Data Modeling: Create logical and physical data models that support business intelligence, analytics, and operational reporting.</li>
<li>Cloud Data Engineering: Leverage cloud-native services (e.g., Azure Synapse, AWS Redshift, S3, Lambda, EMR) to build modern data platforms.</li>
<li>Technical Leadership: Mentor junior engineers, conduct code reviews, and enforce best practices in data engineering and DevOps.</li>
<li>Performance Tuning: Optimize data storage, retrieval, and processing for performance and cost-efficiency.</li>
<li>Data Governance &amp; Security: Implement data quality, lineage, and security standards in compliance with organizational and regulatory requirements.</li>
<li>Cross-Functional Collaboration: Work closely with data scientists, analysts, product managers, and business stakeholders to translate data needs into technical solutions.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li>
<li>8+ years of experience in data engineering with at least 2 years in a technical leadership role.</li>
<li>Proven expertise in data modeling (3NF, dimensional, data vault) and data architecture.</li>
<li>Strong hands-on experience with Azure (Data Factory, Synapse, ADLS) and AWS (Glue, Redshift, S3, Lambda).</li>
<li>Proficiency in SQL, Python, and Spark.</li>
<li>Experience with CI/CD, infrastructure as code (Terraform, CloudFormation), and data orchestration tools (Airflow, Prefect).</li>
<li>Familiarity with data governance, cataloging, and lineage tools (e.g., Purview, Collibra, Alation).</li>
</ul><p>
Preferred Qualifications</p><ul>
<li>
Experience with real-time data processing (Kafka, Kinesis, Azure Event Hubs).</li>
<li>Knowledge of data lakehouse architectures and Delta Lake.</li>
<li>Certifications in Azure or AWS data engineering tracks.</li>
<li>Exposure to machine learning pipelines and MLOps is a plus.</li>
</ul><p></p><p><b>
Life @ ProArch
</b></p><ul><li>At ProArch, we believe our people are the key to our success. That&rsquo;s why we foster an environment where every employee&mdash;known proudly as a <i>ProArchian</i>&mdash;can grow, thrive, and make a meaningful impact.</li>
<li>We empower employees to develop at their own pace through <b>Career Pathways</b>, a clear and supportive guide to professional progression.
</li><li>Our culture is one of <b>positivity, inclusivity, and respect</b>. Titles don&rsquo;t define how we treat each other&mdash;<b>every ProArchian is valued equally</b>, and collaboration across roles and teams is the norm.</li>
<li>We understand that great work starts with balance. That&rsquo;s why we <b>prioritize work-life harmony</b>, offering flexible work schedules and encouraging time for what matters most.</li>
<li>Beyond the workplace, ProArchians actively give back&mdash;organizing <b>volunteer efforts and charitable initiatives</b> that empower the communities we call home.</li>
<li>And because we know that extraordinary efforts deserve recognition, we celebrate those who go above and beyond with appreciation programs.</li>
<li>At ProArch, we&rsquo;re not just using technology to transform businesses&mdash;<b>we&rsquo;re using it to create a better experience for our people, our clients, and our communities.</b></li></ul><p></p><p><b><br>
Competencies:</b></p><ul>
<li>
Excellent Communication</li>
<li>Analytical Skills</li>
<li>Negotiation Skills</li>
<li>Problem Solving Skills</li>
<li>Client Engagement</li>
<li>Relationship Building</li></ul></div>

Technical Lead -Data Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.</p><p>
As a Lead Data Engineer - Vice President at JPMorgan Chase within the International Consumer Bank, you will be part of a team that plays a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals who are solution oriented, with a curious mindset, a passion for collaboration, and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.</p><p><b>
Job responsibilities</b></p><ul><li>
Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.</li><li>
Use domain modeling techniques to build best-in-class business products.</li><li>
Structure software for easy understanding, testing, and evolution.</li><li>
Build solutions that avoid single points of failure using scalable architectural patterns.</li><li>
Develop secure code to protect our customers and ourselves from malicious actors.</li><li>
Promptly investigate and fix issues, ensuring they do not resurface.</li><li>
Ensure releases happen with zero downtime for end-users.</li><li>
Optimize data writing and reading for our needs.</li><li>
Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.</li><li>
Continuously update technologies and patterns.</li><li>
Support products through their entire lifecycle, including production and incident management.</li></ul><p><b>
Required qualifications, capabilities and skills</b></p><ul><li>
Formal training or certification in data engineering concepts and applied experience.</li><li>
Recent hands-on professional experience as a data engineer.</li><li>
Experience coding in a recent version of Python.</li><li>
Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).</li><li>
Excellent written and verbal communication skills in English.</li><li>
Experience with cloud technologies and distributed systems.</li><li>
Experience with data transformation frameworks and data pipeline orchestration tools.</li><li>
Experience managing large volumes of data and optimizing data processing.</li><li>
Understanding of event-based architecture, data streaming, and messaging frameworks.</li><li>
Ability to coach team members on coding practices, design principles, and implementation patterns.</li><li>
Stakeholder management and effective prioritization across multiple work streams.</li></ul><p><b>
Preferred qualifications, capabilities and skills</b></p><ul><li>
Experience in a highly regulated environment/industry.</li><li>
Experience with AWS cloud technologies.</li><li>
Experience with data governance frameworks.</li><li>
Understanding of incremental data processing and versioning.</li><li>
Understanding of RESTful APIs and web technologies.</li></ul><p>
</p><p><b>#ICBCareer #ICBEngineering</b></p>
<b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Data Engineer - Vice President - Chase UK

EPAM Systems

<div><p>Join our diverse team as a <b>Lead Data Software Engineer</b> and embark on an exciting journey to craft data systems and solutions.</p><p>
In this role, you'll be at the forefront of innovation, collaborating closely with our teams to guarantee flawless data integration, impeccable quality, and rock-solid security.</p><p><b>
Responsibilities</b></p><ul><li>
Design and implement data ingestion solutions using Cloud Native, Big Data related technologies (including configuration management, monitoring, debugging and performance tuning)</li><li>
Manage code review and dev testing of solutions to ensure it meets best practice specifications</li><li>
Build collaborative partnerships with data solution architects and key individuals within other functional groups</li></ul><p><b>
Requirements</b></p><ul><li>
Solid background in Software Engineering for more than 5 years</li><li>
Advance experienced in Data Software Engineering. PROD experience in building data ingestion pipelines</li><li>
Deep understanding of SQL queries, joins, stored procedures, relational schemas, and SQL optimization</li><li>
Programming Languages: Python/Java/Scala and SQL</li><li>
Cloud-Native stack: Databricks, AWS</li><li>
Big Data stack: Spark Core, Kafka, Kafka Connect, Airflow</li><li>
Motivated, independent, efficient, and able to handle several projects</li><li>
Practical experience in performance tuning, optimization, and problem analysis</li><li>
English proficiency: B2+</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Lead Data Software Engineer

<div><div><b><i>About Emirates Global Aluminium</i></b><i>
</i></div><div>Emirates Global Aluminium is the world&rsquo;s biggest &lsquo;premium aluminium&rsquo; producer and the largest industrial company in the United Arab Emirates outside the oil and gas industry. EGA is an integrated aluminium producer, with operations on four continents from bauxite mining to the production of cast primary aluminium and recycling. EGA employs over 7,000 of these people including more than 1,200 UAE Nationals. EGA operates aluminium smelters in Jebel Ali and Al Taweelah in the United Arab Emirates, an alumina refinery in Al Taweelah, a bauxite mine and associated export facilities in the Republic of Guinea, a speciality foundry in high strength recycled aluminium in Germany, and a recycling plant in the United States.</div>
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JOB PURPOSE:</b><br>
The Lead Data Ops Engineer will play a critical role in building, scaling, automating, and maintaining the company's Big Data infrastructure and Machine Learning operations (MLOps). This individual will work in close collaboration with our Data Architect, Data Science, Data Engineering, and IT teams to ensure the development, deployment and scale of robust, high-performance data processing systems and ML models.</div><br>
<div></div>
<div><b>KEY ACCOUNTABILITIES:</b></div>
<ul><li><div><b>Big Data Infrastructure:</b> Design, build, and maintain high-performance, cloud-based, fault-tolerant, scalable distributed Data infrastructure that supports the company&rsquo;s data-intensive applications. (Real time/Batch/LLM&rsquo;s). This includes developing strategies for data storage (TB&rsquo;s), processing, and analysis, and implementing high-performance, scalable data pipelines for ML models and data products, supporting up to 50-60 use cases a year and thousands of IoT devices.</div>
</li><li><div>Create infrastructure as Code, perform configuration and set up managed data services. Build and deploy a data science playground for research and prototyping for the professional and citizen data science program being rolled out and supporting 15-20 citizen data scientists/ambassadors.</div>
</li><li><div><b>Machine Learning Operations (MLOps):</b> Develop and manage the ML operational process, working closely with the data science team to implement ML models into production, including edge. This includes streamlining the ML lifecycle, from model development and testing to deployment and implementing the monitoring and alerting strategy.</div>
</li><li><div><b>Automation and Scalability:</b> Implement automation tools and frameworks to manage system updates/changes. Ensure that all systems and infrastructures can scale effectively with the increase in IoT sensors and devices.</div>
</li><li><div><b>Continuous Integration and Deployment (CI/CD):</b> Oversee continuous integration and continuous deployment practices for the data and ML pipeline, ensuring that software can be reliably released at any time.</div>
</li><li><div><b>System Monitoring and Reliability:</b> Monitor system performance and reliability to ensure high levels of performance, availability, and security. This includes identifying and fixing potential and existing system issues. Collaboration and Communication: Strong collaboration with Data Architect/Engineer, data scientists for the implementation and testing of new data services to provide an elastic data infrastructure.</div>
</li><li><div><b>Security:</b> Oversee and ensure that all Big Data and ML Ops platforms comply with the company's security standards and policies.</div>
</li><li><div><b>Mentorship and Leadership:</b> Act as a mentor to junior data members, providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</div>
</li><li><div><b>Innovation and Continuous Improvement:</b> Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency.</div>
</li><li><div><b>Problem Solving:</b> Anticipate and resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity.</div><br>
</li></ul><div></div><div><b>AUTHORITY/DECISION MAKING:</b></div>
<ul><li><div><b>Infrastructure Design:</b> Decide on the most effective design and implementation of the company's Big Data infrastructure.</div>
</li><li><div><b>ML Ops Process:</b> Make key decisions on the ML operational process, ensuring that ML models can be effectively integrated into production.</div>
</li><li><div><b>Automation Tools:</b> Choose the most appropriate automation tools and frameworks for the company's needs.</div>
</li><li><div><b>CI/CD Practices:</b> Determine the best practices for continuous integration and deployment in the context of the company's operations.</div>
</li><li><div><b>System Monitoring:</b> Make decisions on system monitoring strategies, including the selection of tools and responses to system performance metrics.</div>
</li><li><div><b>Security Policies:</b> Have a say in the implementation of security policies as they pertain to the Big Data and ML Ops platforms.</div>
</li><li><div><b>Budget and Costing:</b> Taking ownership of managing data platform costs and relevant data services.</div><br>
</li></ul><div></div><div><b>QUALIFICATIONS &amp; SKILLS:</b></div>
<div><b>Domain Expertise:</b></div>
<ul><li><div>Bachelor&rsquo;s degree required, MS or PhD preferred.</div>
</li><li><div>Bachelor&rsquo;s in Data Science, Computer Science, Engineering, Statistics and 10+ years of relevant experience.</div>
</li><li><div>Experience: A minimum of 5-7 years of experience in a DevOps role, with a focus on managing Big Data infrastructures and MLOps.</div>
</li></ul><div><b>Technical Skills:</b></div>
<ul><li><div>Strong experience with Big Data technologies such as Hadoop, Spark, Kafka, etc.</div>
</li><li><div>Proven expertise in managing and deploying ML models into production.</div>
</li><li><div>Proficient in using CI/CD tools like Jenkins, Travis CI, CircleCI, etc.</div>
</li><li><div>Proficient in using infrastructure automation tools like Terraform, Chef, Puppet, Ansible, etc.</div>
</li><li><div>Strong knowledge of cloud platforms such as Azure (AWS, GCP).</div>
</li><li><div>Experience with containerization technologies like Docker, Kubernetes, etc.</div>
</li><li><div>Familiarity with various database technologies, both SQL and NoSQL.</div>
</li><li><div>Proficiency in programming languages such as Python, Java, or Scala.</div>
</li><li><div>Experience of leveraging MS/Azure ecosystem to manage the development and maintenance of cloud platform operations.</div>
</li><li><div>A broad set of technical skills and knowledge across hardware, software, systems and solutions development.</div>
</li><li><div>A proven track record of using quantitative analysis to impact key business or product decisions.</div>
</li><li><div>Solid grasp of and experience with implementing and operating software development methodologies.</div>
</li><li><div>A solid grasp of common statistical applications and methods (A/B tests and multivariate experiments, probabilities, regression).</div>
</li><li><div>Understanding of Agile Software Development Lifecycle and project planning/execution skills.</div>
</li><li><div>Outstanding communication skills with stakeholders at all levels, managing stakeholders&rsquo; expectations and facilitating discussions across high-risk or complexity under constrained timescales.</div>
</li><li><div>Outstanding capability to establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these. Able to manage resources to ensure that data services work effectively at an enterprise level.</div>
</li><li><div>Up to date with data innovation and expert in investigating emerging trends in data-related approaches, performing horizon-scanning for the organization and introducing innovative ways of working.</div>
</li><li><div>Expert in Data integration design and can establish standards and well informed on best practices across different industries. The candidate can distinguish how to keep those standards up to date and ensures adherence to them.</div>
</li><li><div>Good understanding of concepts and principles of data modeling and can produce, maintain and update relevant data models for specific business needs. Also, shows good knowledge on how to reverse-engineer data models from a live system.</div>
</li><li><div>Expert in Metadata management and understands how metadata repositories can support different areas of the business. Capable of promoting and communicating the value of metadata repositories and knows how to set up robust governance processes to keep repositories up to date.</div>
</li><li><div>Expert in identifying and anticipating problems and knowing how to prevent them by linking how problems fit into the larger picture. Has the ability to identify and describe problems, help others to describe them, and build problem-solving capabilities in others.</div>
</li><li><div>Expert in setting up team-based data engineering standards for programming tools and techniques and can select appropriate development methods. Acts as an advisor on the application of standards and methods and ensures compliance while taking technical responsibility for all stages and/or iterations in a software development project, providing method-specific technical advice and guidance to project stakeholders.</div>
</li><li><div>Technical Expert in predicting and advising on data engineering future technology changes that present opportunities for a product or program.</div>
</li><li><div>Experienced with reviewing requirements, specifications and defining test conditions with good understanding on how to identify issues and risks associated with work while being able to analyze and report test activities and results.</div>
</li></ul><div><b>Agile/Digital Experience:</b></div>
<ul><li><div>Experience in Agile Development, with specific Data Engineer/Data Architect (or similar) experience preferred.</div>
</li><li><div>Understands relationships with Product Owner, Agile Coach, Data Scientist, Designer, and the rest of the technical team.</div>
</li></ul><div><b>Individual Skills:</b></div>
<ul><li><div>Exceptional problem-solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions.</div>
</li><li><div>Ability to partner and influence key business stakeholders at all levels of the organization.</div>
</li><li><div>Strong skills in team leadership and networking, ability to work across multiple organizations to accomplish diverse goals.</div>
</li><li><div>Exceptional presentation, written, and verbal communication skills.</div>
</li><li><div>Strong communication skills with the ability to align the organization on complex technical decisions.</div>
</li><li><div>Active coach and mentor whose goal is to grow and maximize the team&rsquo;s potential.</div>
</li><li><div>Strong ability and enthusiasm around data strategy and ability to inspire team and organization around the usage of data.</div>
</li></ul><div><b>Mindset &amp; Behaviors:</b></div>
<ul><li><div>High energy and passionate individual who inspires teammates to reach their maximum potential.</div>
</li><li><div>Empathetic coach who can help develop a new group of highly motivated data engineers.</div>
</li><li><div>Excited about trying new solutions outside standard approval.</div>
</li><li><div>Invested in developing a culture of trust, free thought, and complete transparency.</div></li></ul></div>

Lead Data Ops Engineer

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