Design, build, and maintain scalable ETL/ELT pipelines with Databricks.
Ingest batch and streaming data from databases, APIs, and events.
Ensure fault-tolerant, efficient, and cost-optimized pipelines on AWS.
Develop data lake/lakehouse architectures using AWS S3, Delta Lake, and Databricks.
Implement medallion architecture (Bronze/Silver/Gold).
Optimize storage formats and partitioning (Parquet, Delta).

🎯 Requirements

Databricks: Hands-on experience.
Proficiency in Apache Spark (PySpark/Scala).
Strong Spark SQL and performance optimization.
Delta Lake and lakehouse architectures.
Python for data engineering; clean, testable code.
SQL for data transformation; Git version control.
Soft skills: problem-solving; independent work; collaboration.
Nice to have: Unity Catalog, BI analytics, cost optimization, Spark knowledge.

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