data operations 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>
Data Analytics Operations Lead Engineer<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>
Sr. Director, Enterprise Data Products<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Karnataka, Bangalore<p></p><p><b>
Work Location:</b></p>
Fully Onsite<p></p><p><b>
What you will do</b></p><p><b>
Who we are</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, Aveeno, Tylenol, Listerine, Johnson&rsquo;s and BAND-AID&reg; Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, 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 the life of 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><b>
Role reports to: </b>Manager, Data Products &amp; Operations</p><p><b>
Location: </b>Bangalore, India</p><p><b>
Travel %:</b> up to 10%</p><p></p><p><b><br>
What you will do</b></p><p>
A <b>Data &amp; Analytics Operations Engineer</b> (often called a <b>DataOps Engineer</b>) is a specialized role focused on the &quot;production line&quot; of data. They bridge the gap between data engineering (which builds the systems) and data analysis (which uses the data), ensuring that pipelines are automated, reliable, and secure.</p><p><b>
Core Responsibilities</b></p><ul><li><p><b>
Pipeline Engineering &amp; Orchestration:</b> Designing and/or maintaining scalable <b>ETL/ELT pipelines</b> using <b>Azure Data Factory (ADF) or Databricks Workflows</b> for ingestion and <b>Azure Databricks (PySpark/SQL)</b> for complex transformations.</p></li><li><p><b>
Lakehouse Management:</b> Implementing and optimizing <b>Medallion Architecture</b> (Bronze, Silver, Gold layers) using <b>Delta Lake</b> to ensure data consistency through ACID transactions.</p></li><li><p><b>
DataOps &amp; Automation:</b> Automating deployments in a scrum of scrum environment, testing, and monitoring of data workflows using <b>Azure DevOps</b>, <b>GitHub Actions</b>, or <b>CI/CD</b> pipelines for Databricks notebooks and jobs.</p></li><li><p><b>
User Feedback: </b>Manage tickets intake and drive appropriate resolution by collaborating with other DevOps or Data Engineers.
</p></li><li><p><b>Governance &amp; Security:</b> Managing centralized access control, data lineage, and auditing across workspaces using <b>Unity Catalog</b>.</p></li><li><p><b>
Performance &amp; FinOps:</b> Tuning <b>Spark jobs</b> (partitioning, Z-ordering, caching) for performance and monitoring cluster usage to optimize <b>Azure and Databricks costs</b>.</p></li><li><p><b>
Operational Support:</b> Providing L2/L3 support for production job failures, performing root cause analysis (RCA), and ensuring strict adherence to <b>Service Level Agreements (SLAs)</b>.</p></li><li><p><b>
Collaboration</b>: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.</p></li><li><p><b>
Communication</b>: Excellent communication and articulation skills especially when engaging with stakeholders.</p></li></ul><p><b>
Required Technical Skills</b></p><ul><li><p><b>
Cloud Platform:</b> Mastery of <b>Azure services</b>, specifically <b>ADLS Gen2</b>, <b>Azure Data Factory</b>, <b>Azure Synapse</b>, and <b>Azure Key Vault</b>.</p></li><li><p><b>
Databricks Ecosystem:</b> Expert knowledge of <b>PySpark</b>, <b>Spark SQL</b>, <b>Delta Live Tables (DLT)</b>, and <b>Databricks Workflows</b>.</p></li><li><p><b>
Programming:</b> High proficiency in <b>Python</b> and <b>SQL</b>; experience with <b>Scala</b> or <b>PowerShell</b> is often a plus.</p></li><li><p><b>
Infrastructure as Code (IaC):</b> Experience in provisioning and managing Azure data resources.</p></li><li><p><b>
Monitoring:</b> Familiarity with <b>Azure Monitor</b>, <b>Log Analytics</b>, and <b>Application Insights</b> for proactive alerting.</p></li></ul><p><b>
Qualifications</b></p><ul><li><p><b>
Education:</b> Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science</b>, Engineering, or a related quantitative field.</p></li><li><p><b>
Experience:</b> <b>4 &ndash; 8 years</b> in data engineering or DataOps, with at least <b>2 years</b> specifically focused on the Databricks/Azure stack.</p></li></ul><p><b>
Preferred Certifications:</b></p><ul><li><p>
Microsoft Certified: Azure Data Engineer Associate</p></li><li><p>
Databricks Certified Professional Data Engineer</p></li></ul><p></p><p><b><br>
What&rsquo;s in it for you</b></p><ul><li>Competitive Total Rewards Package*</li><li>Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!</li></ul><ul><li><p>
Learning &amp; Development Opportunities</p></li><li><p>
Employee Resource Groups</p></li><li><p>
This list could vary based on location/region</p></li></ul><p></p><ul><li><br>
Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.</li></ul><p></p><p><br>
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, 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>

Data Analytics Operations Lead Engineer

LexisNexis Risk Solutions

<div></div><div><div>About the Business</div><div><br>
At ICIS, our mission is to optimize the world&rsquo;s resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link below. <div>https://www.icis.com/explore</div></div><div><br>
About the Team</div><div>
You&rsquo;ll be joining a collaborative, high-performing team with deep technical and domain expertise. We work closely with Data Analysts and Data Scientists across a range of business areas, turning complex requirements into scalable, reliable data solutions. Our team plays a central role in ingesting and managing many of the organization&rsquo;s key datasets. The data pipelines we build and maintain serve as the backbone for the insights delivered to our customers. Open communication, knowledge sharing, and a strong sense of ownership are core to how we work. With a strong focus on delivering the right data at the right time, this is a great opportunity to be part of a team where your work directly contributes to meaningful outcomes for our customers.</div><div></div><div>
About the Role</div><div>
We have an outstanding opportunity available for a senior data engineer within our data operations team. This role will collaborate with stakeholders across business units to design, develop, and maintain the data pipelines, ensuring data quality which provides customers with the &lsquo;Right Data at the Right Time&rsquo;.<br>
This is an exciting opportunity to be part of a strategic transformation focused on data and AI innovation within a dynamic market-leading global business. We have a supportive culture with a keen focus on innovation, technical excellence, career development and mutual support.</div><div></div><div>
Responsibilities</div><ul><li><ul><li><div>
Data Pipeline Development and Maintenance: Design, develop, maintain and optimize robust data pipelines and ETL processes to ensure efficient data flow and integration.</div></li><li><div>
Data Infrastructure Management: Manage and enhance our data infrastructure to support performance, scalability, and long-term reliability.</div></li><li><div>
Data Quality Assurance: Implement data quality checks to maintain accuracy and consistency across all data sources</div></li><li><div>
Drive Continuous Improvement: Identify opportunities to streamline processes and improve the efficiency of our data pipelines</div></li><li><div>
Stakeholder Collaboration: Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs and collaborate with Analysts, Data Scientists, product owners, and business stakeholders to deliver high-impact, AI-driven solutions.</div></li></ul></li></ul><div></div><div>
Requirements</div><ul><li><ul><li><div>
Considerable experience in Data Engineering with strong focus on Data Management and Data Quality</div></li><li><div>
Bachelor&rsquo;s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required</div></li><li><div>
Deep proficiency in Python, SQL and good proficiency in any of the Cloud platforms and Snowflake.</div></li><li><div>
Continuous engagement with Data Science and Analytics colleagues to understand requirements for our data-assets and empower them with best possible data, to create high value analytical services</div></li><li><div>
Ownership of assigned data products, including data model design, end-to-end data pipeline delivery, data product quality monitoring, requirements analysis and issue resolution</div></li><li><div>
Working with other tech teams to define data requirements for external data products e.g., APIs, Data Marketplace offerings etc.</div></li><li><div>
Create data-to-value framework, which enables data value tracking from ingestion to customer value realisation</div></li><li><div>
A team player who works collaboratively and possesses excellent communications skills with ability to communicate technical details in business terminology</div></li><li><div>
Demonstrated success in managing multiple deliverables concurrently and prioritising effectively</div></li><li><div>
Detail-orientated with strong problem-solving skills, innovative thinking and self-motivation in learning and exploring applications</div></li><li><div>
Capable of providing coaching and support to transfer technical and data knowledge, fostering a collaborative team environment</div></li><li><div>
Contribute to continuous improvement initiatives and process enhancements.</div></li></ul></li></ul><div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div>

Senior Software Engineer I

Workday

<div><div>Your work days are brighter here.</div><div></div><div>
We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.</div><div></div><div>
About the Team</div>
Your work days are brighter here.<br>
<br>
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That&rsquo;s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don&rsquo;t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.<br>
<br>
Come be a part of something big.<br>
<br>
If you want to be a part of building something big that will drive value throughout the entire global organization, then this is the opportunity for you. You will be working on top priority initiatives that span new and existing technologies - all to deliver outstanding results and experiences for our customers and employees.<br>
<br>
The EDATA organization in Business Technology takes pride in enabling data driven business outcomes to spearhead Workday&rsquo;s growth through trusted data excellence, innovation and architecture thought leadership.<br>
<br>
Our organization is responsible for developing and supporting Data Warehousing, Data Ingestion and Integration Services, Master Data Management (MDM), Data Quality Assurance, and the deployment of cutting-edge Advanced Analytics and Machine Learning solutions tailored to enhance multiple business sectors such as Sales, Marketing, Services, Support, and Customer Engagement.<br>
<br>
Our team harnesses the power of top-tier modern cloud platforms and services, including AWS, Databricks, Snowflake, Reltio, Tableau, Snaplogic, and MongoDB, complemented by a suite of AWS-native technologies like Spark, Airflow, Redshift, Sagemaker, and Kafka. These tools are pivotal in our drive to create robust data ecosystems that empower our business operations with precision and scalability.<br>
<br>
EDATA is a global team distributed across the U.S, India and Canada.<div></div><div>
About the Role</div><div></div><div>
Join a pioneering organization at the forefront of technological advancement, dedicated to demonstrating data-driven insights to transform industries and drive innovation.<br>
We are actively seeking a skilled Data SRE - Support and Monitoring Engineer who will play a pivotal role in ensuring the smooth functioning of our data infrastructure, enabling self-service analytics, and empowering analytical teams across the organization. As a Data SRE - Support and Monitoring Engineer, you will oversee the management of our enterprise data hub, working alongside a team of dedicated data and software engineers to build and maintain a robust data ecosystem that drives decision-making at scale for internal analytical applications.<br>
You will play a key role in ensuring the availability, reliability, and performance of our data infrastructure and systems. You will be responsible for monitoring, maintaining, and optimizing data systems, providing technical support, and implementing proactive measures to enhance data quality and integrity. This role requires advanced technical expertise, problem-solving skills, and a strong commitment to delivering high-quality support services.<i> </i><i>The team is responsible for supporting Data Services, Data Warehouse, Analytics, Data Quality and Advanced Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience. We demonstrate leading modern cloud platforms like AWS, Reltio, Snowflake,Tableau, Snaplogic, MongoDB in addition to the native AWS technologies like Spark, Airflow, Redshift, Sagemaker and Kafka.</i></div><div></div><div>
Job Responsibilities:</div><ul><li>
Monitor the health and performance of data systems, including databases, data warehouses, and data lakes.</li><li>
Conduct root cause analysis and implement corrective actions to prevent recurrence of issues.</li><li>
Manage and optimize data infrastructure components such as servers, storage systems, and cloud services.</li><li>
Develop and implement data quality checks, validation rules, and data cleansing procedures.</li><li>
Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance.</li><li>
Design and implement data backup and recovery strategies to safeguard data against loss or corruption.</li><li>
Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency.</li><li>
Maintain comprehensive documentation, runbooks, and fix guides for data systems and processes.</li><li>
Collaborate with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations.</li><li>
Lead or participate in data-related projects, such as system migrations, upgrades, or expansions.</li><li>
Deliver training and mentorship to junior team members, sharing knowledge and standard methodologies to support their professional development.</li><li>
Participate in rotational shifts, including on-call rotations and coverage during weekends and holidays as required, to provide 24/7 support for data systems, responding to and resolving data-related incidents in a timely manner</li><li>
Hands-on experience with source version control, continuous integration and experience with release/organizational change delivery tools.</li></ul><div></div><div>
About You</div><div></div><div>
Basic Qualifications:</div><ul><li>
3+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.</li><li>
BE/Masters in computer science or equivalent is required</li></ul><div>
Other Qualifications:</div><ul><li>
Prior experience with CRM systems (e.g. Salesforce) is desirable</li><li>
Experience building analytical solutions to Sales and Marketing teams.</li><li>
Should have experience working on Snowflake ,Fivetran DBT and Airflow</li><li>
Experience with very large-scale data warehouse and data engineering projects.</li><li>
Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.</li><li>
Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs</li><li>
Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc.</li><li>
Solid experience in one or more programming languages for processing of large data sets, such as Python, Scala.</li><li>
Ability to create data models, STAR schemas for data consuming.</li><li>
Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and working with users in resolving issues</li></ul><div></div><ul><li>
Our Approach to Flexible Work</li><li>
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.</li></ul><div><br>
Our Approach to Flexible Work</div><div><br>
With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!</div><div>
At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.</div><div></div><div><br>
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.</div><div></div><div><br>
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</div></div>

Data SRE - Support and Monitoring

Paradox

<div><p><b>Your work days are brighter here.
</b></p><p></p><p>We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
</p><p></p><p><b>About the Team
</b></p>Your work days are brighter here.
<br>
<br>
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That&rsquo;s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don&rsquo;t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
<br>
<br>
Come be a part of something big.
<br>
<br>
If you want to be a part of building something big that will drive value throughout the entire global organization, then this is the opportunity for you. You will be working on top priority initiatives that span new and existing technologies - all to deliver outstanding results and experiences for our customers and employees.
<br>
<br>
The EDATA organization in Business Technology takes pride in enabling data driven business outcomes to spearhead Workday&rsquo;s growth through trusted data excellence, innovation and architecture thought leadership.
<br>
<br>
Our organization is responsible for developing and supporting Data Warehousing, Data Ingestion and Integration Services, Master Data Management (MDM), Data Quality Assurance, and the deployment of cutting-edge Advanced Analytics and Machine Learning solutions tailored to enhance multiple business sectors such as Sales, Marketing, Services, Support, and Customer Engagement.
<br>
<br>
Our team harnesses the power of top-tier modern cloud platforms and services, including AWS, Databricks, Snowflake, Reltio, Tableau, Snaplogic, and MongoDB, complemented by a suite of AWS-native technologies like Spark, Airflow, Redshift, Sagemaker, and Kafka. These tools are pivotal in our drive to create robust data ecosystems that empower our business operations with precision and scalability.
<br>
<br>
EDATA is a global team distributed across the U.S, India and Canada.
<p></p><p><b>About the Role
</b></p><p></p><div>Join a pioneering organization at the forefront of technological advancement, dedicated to demonstrating data-driven insights to transform industries and drive innovation.
<br>
We are actively seeking a skilled Data SRE - Support and Monitoring Engineer who will play a pivotal role in ensuring the smooth functioning of our data infrastructure, enabling self-service analytics, and empowering analytical teams across the organization. As a Data SRE - Support and Monitoring Engineer, you will oversee the management of our enterprise data hub, working alongside a team of dedicated data and software engineers to build and maintain a robust data ecosystem that drives decision-making at scale for internal analytical applications.
<br>
You will play a key role in ensuring the availability, reliability, and performance of our data infrastructure and systems. You will be responsible for monitoring, maintaining, and optimizing data systems, providing technical support, and implementing proactive measures to enhance data quality and integrity. This role requires advanced technical expertise, problem-solving skills, and a strong commitment to delivering high-quality support services. <i>The team is responsible for supporting Data Services, Data Warehouse, Analytics, Data Quality and Advanced Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience. We demonstrate leading modern cloud platforms like AWS, Reltio, Snowflake,Tableau, Snaplogic, MongoDB in addition to the native AWS technologies like Spark, Airflow, Redshift, Sagemaker and Kafka.
</i></div><div></div><div><b>Job Responsibilities:
</b></div><ul><li>Monitor the health and performance of data systems, including databases, data warehouses, and data lakes.
</li><li>Conduct root cause analysis and implement corrective actions to prevent recurrence of issues.
</li><li>Manage and optimize data infrastructure components such as servers, storage systems, and cloud services.
</li><li>Develop and implement data quality checks, validation rules, and data cleansing procedures.
</li><li>Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance.
</li><li>Design and implement data backup and recovery strategies to safeguard data against loss or corruption.
</li><li>Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency.
</li><li>Maintain comprehensive documentation, runbooks, and fix guides for data systems and processes.
</li><li>Collaborate with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations.
</li><li>Lead or participate in data-related projects, such as system migrations, upgrades, or expansions.
</li><li>Deliver training and mentorship to junior team members, sharing knowledge and standard methodologies to support their professional development.
</li><li>Participate in rotational shifts, including on-call rotations and coverage during weekends and holidays as required, to provide 24/7 support for data systems, responding to and resolving data-related incidents in a timely manner
</li><li>Hands-on experience with source version control, continuous integration and experience with release/organizational change delivery tools.
</li></ul><p></p><p><b>About You
</b></p><p></p><div><b>Basic Qualifications:
</b></div><ul><li>3+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
</li><li>BE/Masters in computer science or equivalent is required
</li></ul><div><b>Other Qualifications:
</b></div><ul><li>Prior experience with CRM systems (e.g. Salesforce) is desirable
</li><li>Experience building analytical solutions to Sales and Marketing teams.
</li><li>Should have experience working on Snowflake ,Fivetran DBT and Airflow
</li><li>Experience with very large-scale data warehouse and data engineering projects.
</li><li>Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
</li><li>Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
</li><li>Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc.
</li><li>Solid experience in one or more programming languages for processing of large data sets, such as Python, Scala.
</li><li>Ability to create data models, STAR schemas for data consuming.
</li><li>Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and working with users in resolving issues
</li></ul><div></div><ul><li><b>Our Approach to Flexible Work
 </b></li><li>With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply <b>spend at least half (50%) of our time each quarter in the office or in the field </b>with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.<br>
</li></ul><p><br>
<br>
<b>Our Approach to Flexible Work<br>
</b><br>
</p><p>With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply <b>spend at least half (50%) of our time each quarter in the office or in the field </b>with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.
</p><p></p><p><b>Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
</b></p><p>At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.<br>
</p><p></p><p>Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.<br>
</p><p></p><p>In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</p></div>

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Engineer (Saudi National) for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, or related fields</li>
<li>Proficiency in Data Engineering and Data Modeling</li>
<li>Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li>
<li>Strong skills in Data Analytics and working with large-scale datasets</li>
<li>Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li>
<li>Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li>
<li>Strong problem-solving abilities and attention to detail</li>
</ul>


Data Engineer (Saudi National)

HRPSP - Your Strategic HR Partner

<p><b>We&rsquo;re Hiring: OSS/BSS Application Support Engineer</b></p><p><b>Locations:</b> Karachi<br/><b>Industry:</b> Telecom / ISP / Network Operations</p><p><b>About the Role</b></p><p>We are looking for a skilled <b>OSS/BSS Application Support Engineer</b> to support critical telecom systems involved in <b>service provisioning, activation, and assurance</b>. The ideal candidate will play a key role in maintaining system stability, resolving incidents, and supporting integrations across multiple platforms.</p><p><b>Key Responsibilities</b></p><p>Provide operational support for OSS/BSS applications used in provisioning, activation, and service assurance<br/>Troubleshoot application issues, data inconsistencies, integration failures, and workflow disruptions<br/>Monitor system health, alerts, and performance; escalate incidents when required<br/>Support integrations and data flows between OSS/BSS platforms, third-party systems, and internal tools<br/>Collaborate with NOC, Field Operations, Customer Operations, and Engineering teams<br/>Perform basic SQL queries for validation, troubleshooting, and reportin Maintain and update SOPs, operational documentation, and troubleshooting guides<br/>Assist with system changes, minor enhancements, and release validations</p><p><b>Requirements</b></p><p>3&ndash;5+ years of experience in OSS/BSS application support or telecom systems<br/>Strong understanding of telecom workflows (Provisioning, Activation, Service Assurance)<br/>Experience troubleshooting APIs, integrations, and data flows<br/>Working knowledge of SQL for operational support<br/>Strong analytical, problem-solving, and communication skills<br/>Willingness to learn <b>Salesforce Administration</b> and provide operational backup support</p><p><b>Preferred Skills</b></p><p>Experience with OSS/BSS platforms such as <b>Vetro FiberMap, GoCare, Data Axel</b>, or similar<br/>Background in <b>Telecom, Fiber ISP, Broadband, or Network Operations</b><br/>Familiarity with CRM platforms (Salesforce preferred)<br/>Basic scripting or automation exposure (PowerShell, Bash, Python)</p><p><b>What We Offer</b></p><p>Market Competitive Salary<br/>Career Growth Opportunities<br/>Hybrid Working Model<br/>Exposure to Enterprise Telecom Systems</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

OSS/BSS Application Support Engineer

<p><b>We&rsquo;re Hiring: OSS/BSS Application Support Engineer</b></p><p><b>Locations:</b> Lahore<br/><b>Industry:</b> Telecom / ISP / Network Operations</p><p><b>About the Role</b></p><p>We are looking for a skilled <b>OSS/BSS Application Support Engineer</b> to support critical telecom systems involved in <b>service provisioning, activation, and assurance</b>. The ideal candidate will play a key role in maintaining system stability, resolving incidents, and supporting integrations across multiple platforms.</p><p><b>Key Responsibilities</b></p><p>Provide operational support for OSS/BSS applications used in provisioning, activation, and service assurance<br/>Troubleshoot application issues, data inconsistencies, integration failures, and workflow disruptions<br/>Monitor system health, alerts, and performance; escalate incidents when required<br/>Support integrations and data flows between OSS/BSS platforms, third-party systems, and internal tools<br/>Collaborate with NOC, Field Operations, Customer Operations, and Engineering teams<br/>Perform basic SQL queries for validation, troubleshooting, and reportin Maintain and update SOPs, operational documentation, and troubleshooting guides<br/>Assist with system changes, minor enhancements, and release validations</p><p><b>Requirements</b></p><p>3&ndash;5+ years of experience in OSS/BSS application support or telecom systems<br/>Strong understanding of telecom workflows (Provisioning, Activation, Service Assurance)<br/>Experience troubleshooting APIs, integrations, and data flows<br/>Working knowledge of SQL for operational support<br/>Strong analytical, problem-solving, and communication skills<br/>Willingness to learn <b>Salesforce Administration</b> and provide operational backup support</p><p><b>Preferred Skills</b></p><p>Experience with OSS/BSS platforms such as <b>Vetro FiberMap, GoCare, Data Axel</b>, or similar<br/>Background in <b>Telecom, Fiber ISP, Broadband, or Network Operations</b><br/>Familiarity with CRM platforms (Salesforce preferred)<br/>Basic scripting or automation exposure (PowerShell, Bash, Python)</p><p><b>What We Offer</b></p><p>Market Competitive Salary<br/>Career Growth Opportunities<br/>Hybrid Working Model<br/>Exposure to Enterprise Telecom Systems</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

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