Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services.
- Create resilient, modular, scalable, reusable, and cost-effective data products and pipeline solutions.
- Use Azure storage accounts, Azure Data Lake Storage Gen 2, and Azure Blob Storage to organize and maintain pipeline outputs.
- Collaborate with data scientists, data analysts, data architects, and other stakeholders to understand requirements and deliver data solutions.
- Optimize Azure data pipelines for performance, scalability, and reliability.
- Ensure data quality and integrity through validation techniques and frameworks.
- Develop and maintain documentation for data processes, configurations, and best practices.
- Monitor and troubleshoot pipeline issues to ensure timely resolution.
- Manage CI/CD deployment and maintenance processes for data solutions.
- Stay current with industry trends and emerging technologies relevant to data engineering.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- High proficiency in programming fundamentals and 5–7 years of experience.
- 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 efficiently query modern relational database systems 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 skills and attention to detail.
- Excellent communication and collaboration skills.
- Python experience is preferred; Scala, Java, or C# experience is also accepted.
- Experience building Spark applications with PySpark.
- Experience with Parquet, Delta, and Avro file formats.
- Experience querying API endpoints as data sources.
- Understanding of Azure subscriptions, resource groups, Git workflows, Azure DevOps pipelines and repositories, and Ansible in Azure DevOps pipelines.
Benefits
- Opportunity to participate in world-leading energy projects and expand a career 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.
- Thoughtfully designed work environments with digital tools that support focus and collaboration.
- Exposure to emerging technologies and digital solutions shaping the energy and enterprise sectors.
- Standard work week is Monday to Friday, with working hours of either 8:00 a.m. to 5:00 p.m. or 1:30 p.m. to 10:30 p.m.
Tech Stack
Categories
About Chevron
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