Design, build, deploy scalable data pipelines in big data ecosystems.
Develop ETL/ELT pipelines with modern data processing frameworks.
Work with data lake architectures and virtual data warehouses.
Build data solutions using Parquet, Iceberg, and Delta formats.
Develop high-performance solutions with Python, Databricks, and Apache Spark.
Work with GCP; design and manage relational databases (DB2/Oracle/SQL Server) with strong SQL.

🎯 Requirements

8+ years of experience in ETL/ELT technologies.
4+ years hands-on with Databricks and Apache Spark.
Minimum 6 years of experience on cloud platforms, preferably GCP.
Strong programming expertise in Python.
Experience with relational databases and complex SQL development.
Exposure to NoSQL and graph databases is a plus; RBAC/ABAC access control.

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