Cloud Data Engineer
E Source
About the role
About
E Source is looking for a Cloud Data Engineer specializing in Data Lake architecture to support utility clients remotely. Utilize your skills in data pipeline design to enable informed decision-making.
In this remote position, you will focus on cloud data architectures, emphasizing Databricks and AWS for optimal data management. Work alongside data science teams to produce high-quality data for analytics and machine learning initiatives. This role suits engineers who thrive on solving complex data challenges while enhancing client data capabilities.
Key Responsibilities
- Design data architecture for lakes and warehouses
- Maintain robust ETL/ELT workflows using Databricks
- Ensure fault tolerance and scalability in data pipelines
- Optimize SQL and cloud resources for efficiency
- Document data processes for client accessibility
Requirements
- 3–7+ years of relevant experience in data engineering
- Educational background in Computer Science or related
- Extensive experience with Databricks and AWS
- Proficient in SQL and data transformation in Python/Scala
- Familiarity with streaming frameworks like Spark or Kafka
Leverage your data skills to drive meaningful advancements in the energy sector at E Source.
Skills
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