Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Fabric.
- Organize and maintain pipeline outputs using Azure Data Lake Storage Gen 2 and Azure Blob Storage.
- Collaborate with data scientists, data analysts, data architects, and other stakeholders to deliver data solutions.
- Optimize Azure data pipelines for performance, scalability, and reliability.
- Ensure data quality and integrity through validation techniques and frameworks.
- Document data processes, configurations, and best practices.
- Monitor and troubleshoot pipeline issues for timely resolution.
- Manage deployment and maintenance of data solutions through the CI/CD process.
- Stay current with industry trends and emerging technologies in data engineering.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- High proficiency in programming fundamentals and stated experience of 5–7 years; the posting also specifies at least 2–8 years of experience as a Data Engineer or in a similar data and ETL role.
- Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage, and Azure Data Lake Gen 2.
- Experience using SQL DML to query modern relational databases efficiently, such as SQL Server and PostgreSQL.
- Understanding of software engineering principles applied to data engineering, including CI/CD, version control, and testing.
- Experience with big data technologies such as Spark.
- Strong problem-solving, attention to detail, communication, and collaboration skills.
- Preferred: strong Python experience or experience with Scala, Java, or C#.
- Preferred: experience building Spark applications with PySpark.
- Preferred: experience with Parquet, Delta, and Avro file formats and querying API endpoints as data sources.
- Preferred: understanding of Azure subscriptions, resource groups, Git workflows, Azure DevOps pipelines and repositories, and Ansible in Azure DevOps pipelines.
Benefits
- Opportunity to participate in global energy projects and advance professional development within an inclusive, collaborative workplace.
- Structured learning, mentorship, and opportunities to contribute to impactful projects.
- Comprehensive benefits supporting health, well-being, and work-life balance.
- Work in thoughtfully designed environments with digital collaboration tools and emerging energy and enterprise technologies.
- Standard Monday–Friday work week in Bengaluru, with working hours of either 8:00 AM–5:00 PM or 1:30 PM–10:30 PM.
Tech Stack
Categories
About Chevron
Our greatest resource is our people. Their ingenuity, creativity and collaboration have met the complex challenges of energy’s past. Together, we’ll take on the future. We support the LinkedIn Terms of Use (User Agreement), and we expect visitors to our page to do the same. We encourage open, lively conversation with a few simple rules: --We reserve the right to correct factual errors. --We will reply to comments when appropriate. --If we disagree with other opinions, we will do so respectfully. --You may not post anything that is spam or that is abusive, profane, or defamatory toward a person, entity, belief, or symbol. --We will delete any posts that contain personal information such as email addresses, phone numbers and physical addresses, and other third party intellectual property material, when that information does not belong to the author of the post. --You may not post job listings for non-Chevron positions. --While we support lively, open discussion, we reserve the right to delete comments.