
Senior Data Engineer, Autonomy
2 weeks ago
Role Summary
Responsibilities
- Design, develop, and maintain robust and scalable data pipelines to support various data-driven initiatives.
- Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
- Work with large datasets, ensuring data quality, integrity, and reliability throughout the entire data lifecycle.
- Leverage Apache Spark within the Databricks environment to process large volumes of data efficiently.
- Utilize Python, SQL, Spark, and other technologies to optimize and enhance data processing capabilities.
- Implementation experience on containerization and orchestration tools (e.g., Docker, Kubernetes).
- Implement and optimize ETL processes for efficient data extraction, transformation, and loading.
- Collaborate with Data Scientists and Analysts to provide them with the necessary data infrastructure and support their analytical needs.
- Stay current with industry trends and best practices to continuously improve data engineering processes.
- Bachelor's degree in computer science, Information Technology, or a related field.
- At least 5+ years building data and analytics platforms using AWS Cloud, Python, SQL and Databricks
- Experience working with Distributed systems like Spark.
- Knowledge of automation and CI-CD best practices.
- Outstanding aptitude for problem-solving and a demonstrated ability to excel within a collaborative team setting.
Rivian
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