
Cloud Data Platform Developer
12 hours ago
Job Overview
We are seeking an experienced Cloud Data Engineer to join our team. In this role, you will be responsible for building and maintaining a scalable, reliable, and cost-efficient cloud data platform using Databricks and related technologies.
The ideal candidate will have strong skills in SQL and PL/SQL, experience with data modeling and warehouse design principles, and proficiency in at least one programming language (Python, Scala, Java).
Key Responsibilities
- Analyze and understand existing data warehouse implementations to support migration and consolidation efforts.
- Reverse-engineer legacy stored procedures 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.
- Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
- Evaluate and optimize data models for performance and scalability in the new platform.
- Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
- Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.
Requirements
- 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.
- Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.
- Hands-on experience with data modeling and warehouse design principles.
- Proficiency in at least one programming language (Python, Scala, Java).
Preferred Skills
- Databricks cloud certification is a big plus.
- Exposure to enterprise data governance and metadata management practices.
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