Chevron is on the lookout for a talented Data Engineer to join our team in India.
This role is crucial in deploying and maintaining fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle the distribution of data types and volumes in support of our data architecture design..
Key Responsibilities.
Utilize software engineering principles to create and manage automated data pipelines in support of Chevrons overall data enablement strategy.
Combine a variety of storage and computational technologies to handle diverse data types and volumes.
Support the data architecture design with efficient and scalable data solutions.
Collaborate with the digital and the agile team to align data engineering practices with the overall technical strategy.
Ensure the integrity, availability, and security of data throughout the transformation process.
Required Qualifications.
Minimum 5 years experience in deploying and maintaining fully automated data transformation pipelines.
Strong background in software engineering with a focus on data pipeline development.
Knowledge with computer science and software engineering fundamentals, including APIs.
Experience with data transformation and orchestration tools such as Azure Functions, Logic Apps, ADF, Databricks, Synapse, and others.
Knowledge of data product development and data modeling, big data computing, and cost optimization.
Knowledge of data classification, including legal, sensitive, or confidential information.
Experience with a wide range of data storage and computational technologies.
Team player with excellent communication skills and a collaborative mindset.
Ability to handle various data types and volumes in a distributed environment.
Knowledge of data architecture design principles and best practices.