data engineering lead

NorthBay Solutions

<div><h2 class="jobSectionHeader">Job Title: Data Architect &ndash; AWS</h2>
Experience: 12+ Years 
Location: Hybrid &ndash; Lahore, Karachi, Islamabad 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Position Overview</h2>
We are seeking a highly experienced Data Architect with 12+ years of experience to define and lead enterprise data architecture strategy on AWS. This role requires deep expertise in large-scale data platform design, governance frameworks, cloud architecture, and stakeholder alignment at leadership level. The ideal candidate will drive long-term data strategy, establish architectural standards, and lead complex enterprise data transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and own enterprise-wide data architecture strategy and roadmap</li><li>
Architect scalable, secure, high-performance batch and real-time data platforms on AWS</li><li>
Design modern data lake, data warehouse, and lakehouse architectures</li><li>
Define enterprise ETL/ELT architecture using AWS Glue, EMR (Spark), Lambda, and orchestration frameworks</li><li>
Architect data warehousing solutions using Amazon Redshift</li><li>
Establish data modeling standards (Dimensional, Data Vault, Hybrid approaches)</li><li>
Define governance, cataloging, lineage, and access control frameworks using AWS DataZone</li><li>
Lead architecture governance forums and conduct design reviews</li><li>
Establish best practices for scalability, performance tuning, disaster recovery, and cost optimization</li><li>
Define security architecture aligned with enterprise compliance standards</li><li>
Provide technical leadership and mentorship to Data Engineers and Technical Leads</li><li>
Partner with business, analytics, and executive stakeholders to align data architecture with organizational goals</li><li>
Drive innovation and evaluation of emerging data technologies</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Experience</h2><ul><li>
12+ years of experience in Data Engineering / Data Architecture</li><li>
Extensive experience designing enterprise-scale data platforms on AWS</li><li>
Strong expertise in:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon Redshift</li><li>
Amazon S3</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon CloudWatch</li></ul></li><li>
Strong command of data modeling techniques (Star Schema, Snowflake Schema, Data Vault)</li><li>
Experience designing enterprise data lake, warehouse, and lakehouse ecosystems</li><li>
Strong knowledge of data governance, metadata management, and data security frameworks</li><li>
Advanced SQL and strong Python expertise</li><li>
Experience defining architecture principles, standards, and enterprise roadmaps</li><li>
Strong stakeholder management and cross-functional leadership skills</li><li>
Experience leading large data engineering teams</li><li>
Experience working in Agile / SAFe delivery models</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Data Analytics Specialty Certification</li><li>
Experience with streaming technologies (Kinesis, Kafka)</li><li>
Exposure to multi-cloud or hybrid architectures</li><li>
Experience leading enterprise data transformation programs</li></ul>
OJhL7KfAS8</div>

Data Architect – AWS

FedEx

<div>Grade - T7 
 
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date 
 
What your main responsibilities are: 
 
Job Profile Summary 
 
Design, build, and optimise scalable data engineering solutions that empower analytics, reporting, and data-driven decision-making across the enterprise. Lead the architecture, implementation, and enhancement of cloud-based data platforms and pipelines that integrate structured and unstructured data from multiple disparate sources. 
 
Serve as a technical and people leader, guiding a team of data engineers, mentoring junior members, and fostering a culture of collaboration, innovation, and excellence. Act as a key liaison between technical teams and business stakeholders, effectively translating complex data concepts into actionable insights and communicating recommendations to senior leadership. 
 
Drive standardisation of best practices, enforce data governance, and ensure high performance, reliability, and scalability of the enterprise data ecosystem using modern Azure-based data technologies. 
Grade - T7
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
What your main responsibilities are:
Data Architecture &amp; Engineering 
Architect, design, and implement robust and scalable data pipelines and data lake solutions across diverse data sources using Azure Data Factory, Databricks, Azure Synapse, and other Azure services.
ETL/ELT Development &amp; Optimization 
Build, automate, and optimize ETL/ELT processes for data ingestion, cleansing, transformation, and storage from RDBMS (Oracle, Teradata, SQL Server) and other structured/unstructured systems. Ensure efficient data flow and accessibility for analytics and machine learning workloads.
Cloud Data Solutions 
Lead the deployment and management of cloud-native data platforms leveraging Azure ecosystem tools. Drive adoption of new cloud capabilities that improve performance, scalability, and data democratization.
Leadership, Mentorship &amp; Collaboration 
Lead and inspire a team of data engineers &mdash; providing technical guidance, mentorship, and coaching to help them develop their skills and deliver quality solutions. 
Foster strong cross-functional collaboration with analysts, data scientists, and business teams to ensure alignment between data initiatives and organisational priorities.
Data Modeling &amp; Governance 
Develop and maintain data models and standards that support consistency, re usability, and governance across teams. Implement data quality frameworks, lineage tracking, and metadata management solutions.
Monitoring, Optimization &amp; Automation 
Oversee monitoring and observability systems for data pipelines. Drive continuous improvement through automation, CI/CD practices, and infrastructure-as-code for data workflows.
Presentation &amp; Strategic Communication 
Deliver compelling presentations and reports to senior leadership and technical stakeholders. 
Effectively communicate complex technical concepts, architectural designs, and project outcomes through clear storytelling and visualization. 
Influence data strategy and advocate for innovation and best practices across teams. 
What we are looking for
Education: 
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a quantitative discipline such as Mathematics or Statistics. Master&rsquo;s degree in a relevant field preferred.
Experience: 
Minimum 8+ years of experience in data engineering, data architecture, or big data environments, including experience leading teams or projects.
Technical Skills:<ul><li>
Expert in SQL, Python, and PySpark</li><li>
Strong experience with Azure Data Factory, Databricks, Synapse, Data Lake, Event Hubs, and Logic Apps</li><li>
Deep understanding of ETL/ELT, data modeling, data warehousing, and data lakehouse architecture</li><li>
Experience with DevOps for data (CI/CD, Infrastructure as Code)</li><li>
Familiarity with real-time data streaming (Kafka, Event Hubs)</li><li>
Knowledge of data quality, metadata management, governance, and security</li><li>
Exposure to machine learning pipelines, AI integration, and advanced analytics enablement is an advantage</li><li>
Good to have:</li><li>
Experience with Delta Lake, Unity Catalog, and data mesh architectures</li><li>
Working knowledge of Power BI and Tableau for visualization</li><li>
Familiarity with Azure ML, Airflow, and Kubernetes environments</li></ul> 
FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.<h2 class="jobSectionHeader">
Our Company</h2>
FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by &quot;Fortune&quot; magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.<h2 class="jobSectionHeader">
Our Philosophy</h2>
The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.<h2 class="jobSectionHeader">
Our Culture</h2>
Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.</div>

Data Engineer-Lead II

Confiz

<div>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
Responsibilities:
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
Qualifications
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Data Engineer

Topdot Pvt Ltd

Head of Data &amp; AILocation: Pakistan / Middle East (Hybrid) Experience: 10+ years Industry: Data, AI, Analytics, Cloud, Digital Transformation Role Type: Leadership / Principal Consultant / Practice Head Reporting To: CEO / Executive LeadershipAbout DigifloatDigifloat is a global technology and consulting company specializing in Data Engineering, Advanced Analytics, Artificial Intelligence, Generative AI, and Enterprise Platforms. We partner with leading enterprises across the Middle East, Europe, and Asia to design and deliver large-scale data and AI platforms that drive measurable business outcomes.Our portfolio spans enterprise data platforms, AI copilots, GenAI solutions, regulatory data platforms, industry-specific analytics, and proprietary accelerators such as Qube, GenBI, and LawGPT.We are building a leadership team that combines deep technical authority with strong commercial and advisory capability.Role OverviewWe are seeking a Head of Data &amp; AI to serve as Digifloat&rsquo;s principal authority for all Data, Analytics, AI, and Generative AI initiatives.This is not a pure delivery or engineering management role. It is a hybrid leadership position that spans:<ul><li>Strategic technology leadership</li><li>Enterprise architecture authority</li><li>Client advisory</li><li>Presales and proposal ownership</li><li>Program governance and delivery oversight</li><li>Practice building and team scaling</li><li>Business development and partnerships</li></ul>The ideal candidate will act as Digifloat&rsquo;s face of Data &amp; AI in front of clients, partners, and internal teams.Key Responsibilities1) Strategic Technology Leadership &amp; Architecture Authority<ul><li>Define and own Digifloat&rsquo;s enterprise data and AI reference architectures.</li><li>Establish standard solution blueprints across:</li><li>Lakehouse, Warehouse, and Data Mesh architectures</li><li>Streaming and batch data platforms</li><li>ML, MLOps, and GenAI (RAG, agents, copilots)</li><li>Evaluate and recommend appropriate platforms based on:</li><li>Client context</li><li>Scale and performance requirements</li><li>Security and regulatory constraints</li><li>Cost and commercial viability</li><li>Act as final technical authority for major architectural decisions.</li><li>Define best practices for:</li><li>Data engineering</li><li>Analytics engineering</li><li>MLOps</li><li>GenAI solution design</li><li>Platform security and governance</li></ul>2) Presales Leadership &amp; Proposal Ownership<ul><li>Lead solution design for large RFPs, RFQs, and strategic proposals.</li><li>Own the technical narrative in:</li><li>Proposals</li><li>Statements of Work (SoWs)</li><li>Architecture sections</li><li>Implementation approaches</li><li>Effort estimations</li><li>Technical assumptions</li><li>Represent Digifloat in:</li><li>Proposal defenses</li><li>Client workshops</li><li>Executive solution briefings</li><li>Architecture review sessions</li><li>Guide presales teams on:</li><li>Platform selection</li><li>Solution positioning</li><li>Commercial trade-offs</li><li>Delivery phasing and roadmap definition</li></ul>3) Client Advisory &amp; Executive Engagement<ul><li>Act as a trusted technical advisor to:</li><li>CIOs</li><li>CTOs</li><li>Heads of Data</li><li>Chief Digital Officers</li><li>Business leadership</li><li>Lead client discovery sessions and strategic roadmap discussions.</li><li>Translate business objectives into scalable data and AI strategies.</li><li>Support account expansion and long-term roadmap planning for strategic clients.</li><li>Maintain senior-level client relationships across key accounts.</li></ul>4) Delivery Oversight &amp; Program Governance<ul><li>Provide architectural and technical oversight across all major data and AI programs.</li><li>Review and approve:</li><li>Solution designs</li><li>Platform architectures</li><li>Security designs</li><li>Data models</li><li>AI and ML approaches</li><li>Act as escalation authority for:</li><li>Complex technical issues</li><li>Architecture conflicts</li><li>Delivery risks</li><li>Ensure platforms meet:</li><li>Performance</li><li>Scalability</li><li>Security</li><li>Reliability</li><li>Compliance requirements</li></ul>5) Practice Building &amp; Team Leadership<ul><li>Build and scale Digifloat&rsquo;s Data &amp; AI practice.</li><li>Define:</li><li>Role structures</li><li>Skill matrices</li><li>Hiring standards</li><li>Career paths</li><li>Lead and mentor:</li><li>Data engineers</li><li>Analytics engineers</li><li>ML engineers</li><li>AI engineers</li><li>Architects</li><li>Establish internal enablement programs and technical standards.</li><li>Drive knowledge sharing and IP creation.</li></ul>6) Partnerships, Growth &amp; Market Expansion<ul><li>Build and maintain strategic relationships with:</li><li>Microsoft</li><li>Snowflake</li><li>Databricks</li><li>HCL Software</li><li>Other OEM and ISV partners</li><li>Leverage personal and professional networks to generate qualified leads.</li><li>Contribute to:</li><li>Partnership programs</li><li>Joint go-to-market initiatives</li><li>Co-selling opportunities</li><li>Support Digifloat&rsquo;s product and IP strategy:</li><li>Qube</li><li>GenBI</li><li>LawGPT</li><li>Industry accelerators</li></ul>Required Experience &amp; ProfileExperience<ul><li>10+ years of experience in:</li><li>Data engineering</li><li>Analytics</li><li>AI / ML</li><li>Enterprise architecture</li><li>Technical leadership</li><li>Prior experience in one or more of:</li><li>Head of Data</li><li>Chief Architect</li><li>Principal Consultant</li><li>Practice Head</li><li>Director of Data / AI</li><li>Proven track record leading:</li><li>Presales solutioning</li><li>Proposal defenses</li><li>Large enterprise delivery programs</li><li>Experience acting as a senior advisor to CXO-level stakeholders.</li></ul>Technical ExpertiseDeep hands-on and architectural experience across:Data Platforms<ul><li>Databricks</li><li>Snowflake</li><li>Azure Fabric</li><li>BigQuery</li><li>Redshift</li></ul>Cloud<ul><li>Azure, AWS, or GCP</li></ul>Data Architectures<ul><li>Lakehouse</li><li>Warehouse</li><li>Data Mesh</li><li>Streaming architectures</li></ul>AI / ML / GenAI<ul><li>RAG architectures</li><li>Agentic workflows</li><li>Copilot-style solutions</li><li>MLOps</li><li>Feature stores</li><li>Model lifecycle management</li></ul>Ecosystem &amp; Tooling Trade-offs<ul><li>Databricks vs Snowflake vs Fabric</li><li>Lakehouse vs Warehouse</li><li>Batch vs Streaming</li><li>RAG vs Fine-tuning</li><li>Open-source vs managed services</li></ul>Commercial &amp; Advisory Capability<ul><li>Strong commercial acumen and delivery estimation capability.</li><li>Experience structuring:</li><li>Phased implementations</li><li>Pilot &rarr; PoC &rarr; Production rollouts</li><li>Ability to balance:</li><li>Technical excellence</li><li>Commercial viability</li><li>Delivery risk</li></ul>Education &amp; CertificationsRequired<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.</li></ul>Preferred<ul><li>Master&rsquo;s degree (MBA, MS, or equivalent).</li><li>Cloud Architect / Data Engineer certifications.</li><li>AI / ML certifications.</li><li>CDMP or equivalent.</li></ul>Who Should ApplyThis role is ideal for someone who:<ul><li>Has deep technical authority across data and AI.</li><li>Enjoys client-facing advisory and executive engagement.</li><li>Has led both presales and delivery.</li><li>Can own architecture, proposals, and program governance.</li><li>Wants to build and scale a data and AI practice.</li><li>Brings strong professional networks and business development mindset.</li></ul>Why Join Digifloat<ul><li>Executive-level influence on company strategy and growth.</li><li>Ownership of enterprise-grade AI and data programs across multiple regions.</li><li>Opportunity to shape proprietary AI platforms and accelerators.</li><li>Exposure to large public-sector and enterprise transformation initiatives.</li><li>Strong growth trajectory and leadership visibility.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current monthly salary in PKR?</li><li>Expected monthly salary in PKR?</li></ul>Work Location: In person

Head of Data & AI

MA'ADEN

<div>Job purpose
The Lead Specialist, Data Engineering is responsible for designing, developing, and
optimizing scalable data engineering solutions across both OT (Operational Technology) and IT environments. The role ensures that data products, enterprise data layers, pipelines, and integration flows are consistent, governed, high-performing, and aligned with enterprise architecture. 
This position operates as a senior technical specialist providing guidance across multidisciplinary engineering teams and ensuring cohesive OT&ndash;IT data ingestion, transformation, and consumption patterns. 
Key Accountabilities
Support Enterprise Architecture Direction
<div><ul><li>Design, build, and optimize ingestion, transformation, and orchestration pipelines across OT and IT data sources.
</li></ul><ul><li>Implement scalable ELT/ETL workflows supporting enterprise analytics, data products, AI/ML, and operational use cases.
</li></ul><ul><li>Engineer unified data flows across remote mining sites, disconnected OT environments, manufacturing systems, edge computing devices, and IT cloud platforms.
</li></ul><ul><li>Embed metadata capture, lineage tracking, and quality checks into data pipelines to support data governance and cataloging requirements.
</li></ul><ul><li>Translate architectural models into physical engineering implementations.
</li></ul><ul><li>Partner with business domains to understand data requirements and ensure delivered pipelines meet operational and analytical needs.
</li></ul><ul><li>Address OT-specific latency, connectivity, protocol variability, and historian/SCADA integration considerations in pipeline designs. 
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification
<ul><li>Bachelor&rsquo;s degree in Computer Science/Eng, Data Engineering, Information Systems, or related field.
</li><li>Master&rsquo;s degree preferred (Data Architecture, Software Engineering, or AI/Analytics). 
</li></ul>Minimum Experience
<ul><li>8+ years of hands-on experience in data engineering across modern architectures (cloud, data laken and warehouse, OT/IT).
</li><li>Strong experience building data pipelines integrating OT systems (SCADA, DCS, historians) and IT data sources, ERP Fusion.
</li><li>Practical experience with Azure, modern data lakehouse patterns, virtualization , and workflow orchestration.
</li><li>Exposure to DevOps pipelines, containerization, data quality, and metadata management systems.
</li></ul>Maaden High Performance Competencies
<ul><li>Execution Excellence: Delivers high-quality pipelines and engineering solutions with strong reliability.
</li><li>Collaboration &amp; Influence: Works effectively across OT, IT, and business domains.
</li><li>Problem Solving: Tackles complex integration challenges across industrial and corporate environments.
</li><li>Adaptability &amp; Innovation: Applies modern engineering techniques and identifies improvements in architecture/tooling.
</li><li>Technical Leadership: Guides engineering teams and junior specialists. 
</li></ul>Skills
<ul><li>Advanced ELT/ETL development (e.g., Data Factory, Informatica, custom pipelines).
</li><li>Strong programming in Python, SQL, and data transformation frameworks.
</li><li>Experience with time-series, historian, and sensor data coming from OT.
</li><li>Deep understanding of streaming pipelines, micro-batching, and real-time architectures.
</li><li>Strong knowledge of cloud platforms (Azure preferred), data lakehouse, Delta/Parquet formats, API integration, and orchestration tools.
</li><li>Familiarity with DevOps practices, CI/CD, and Git-based workflows</li></ul></div>

Lead Specialist, Integrated Data, AI & Analytics Platform II

redef9skiLLs

The Data Engineering function is expanding across ingestion, integration, transformation,and consumption capabilities to deliver high-impact data products that transform how theorganization leverages data. The Data Engineering and Platforms team is seeking anexperienced Senior Data Engineer to provide technical leadership and expertise to internaland partner teams working within an enterprise data ecosystem.This role will be instrumental in shaping technical roadmaps, defining best practices, andcontributing to architectural decisions to drive innovation at scale.The position demands deep technical expertise, strong problem-solving skills, andarchitectural understanding across data engineering initiatives. It requires closecollaboration with architects and business stakeholders to contribute to enterprise-widedata engineering strategies, ensuring scalable, resilient, and cost-optimized data solutions.Key Responsibilities<ul><li>Lead the technical design and hands-on development of scalable, high-performance data</li></ul>platforms and solutions.<ul><li>Drive business impact through data-driven decision-making.</li><li>Define and implement enterprise data architecture principles.</li><li>Modernize legacy data products to modern data architectures.</li><li>Establish technical governance, standards, and frameworks.</li><li>Mentor junior engineers and provide hands-on technical guidance.</li><li>Architect and optimize data pipelines across Azure, Databricks, and GCP.</li><li>Ensure data security and regulatory compliance.</li><li>Collaborate with cross-functional teams in Agile delivery.</li><li>Drive proof-of-concepts and pilot implementations.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science or equivalent.</li><li>4&ndash;7 years of enterprise data engineering experience.</li></ul>Additional Skills<ul><li>Azure Data Factory, Databricks, GitHub, CI/CD</li><li>DataOps, DevSecOps, SQL/NoSQL</li><li>Strong communication and mentoring skills</li></ul>Job Type: Full-timePay: ₹1,500,000.00 - ₹2,400,000.00 per yearWork Location: In person

Senior Data Engineer

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Data Architect – AWS

Data Engineer-Lead II

Principal Data Engineer

Head of Data & AI

Lead Specialist, Integrated Data, AI & Analytics Platform II

Senior Data Engineer

Principal Data Engineer