
Cloud Data Engineer with Expertise in Analytics
1 week ago
About the Role
We're building a world-class advanced analytics practice to drive growth and solve complex problems. You'll manage our cloud data platform, making it more scalable, reliable, and cost-efficient.
Responsibilities
- Analyze existing data warehouse implementations to support migration efforts.
- Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into Spark SQL code.
- Design and develop data lake solutions using S3 and Delta Lake architecture, leveraging Databricks for processing.
- Build robust data pipelines with ingestion into S3 and processing in Databricks.
- Collaborate with data architects to implement ingestion frameworks aligned with enterprise standards.
- Evaluate and optimize data models for performance and scalability.
- Document ETL processes and data flows to ensure transparency.
- Perform foundational data administration tasks including job scheduling and error troubleshooting.
- Work closely with cross-functional teams to ensure smooth transition of data sources.
- Participate in Agile ceremonies and contribute to sprint planning.
- Maintain and Manage Code repositories like Git.
Qualifications
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience working with Databricks and Spark SQL.
- Strong SQL and PL/SQL skills with ability to interpret and refactor legacy stored procedures.
- Hands-on experience with data modeling principles.
- Proficiency in at least one programming language (Python, Scala, Java).
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