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1 day ago
We are seeking an experienced Cloud Data Engineer to join our team and contribute to the development of our advanced analytics practice. The ideal candidate will have a strong background in building data products using Databricks and related technologies.
The successful candidate will be responsible for managing the existing cloud data platform, making it more scalable, reliable, and cost-efficient. They will also work on additional projects that leverage the existing architecture and use newer technologies where needed.
Responsibilities include analyzing and understanding existing data warehouse implementations to support migration and consolidation efforts, reverse-engineering legacy stored procedures (PL/SQL, SQL), and designing and developing data lake solutions on AWS using S3 and Delta Lake architecture.
- Analyze existing data warehouse implementations to support migration and consolidation efforts.
- Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
- Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
- Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
Key qualifications include a Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field, 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations, and 3+ years of experience in designing and implementing data lake architectures on Databricks.
Strong SQL and PL/SQL skills are essential, along with hands-on experience with data modeling and warehouse design principles. Proficiency in at least one programming language (Python, Scala, Java) and experience working in Agile environments are also required.
This is an excellent opportunity for a motivated and experienced Cloud Data Engineer to join our team and contribute to the development of our advanced analytics practice.
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