Develop, maintain, and optimize ETL/ELT processes across different platforms (SQL Server, Spark, NoSQL).
Migrate routines and data loads from SQL Server to Spark (PySpark).
Develop scripts and automations in Python.
Model and structure data according to governance and performance best practices.
Collaborate with architects, analysts, and testers to ensure data quality and integrity.
Support data migration and modernization initiatives in cloud environments (GCP).

Strong command of ANSI SQL, data modeling, and relational databases.
Experience with SQL Server and Spark (PySpark).
Knowledge of Python and NoSQL.
Understanding of ETL/ELT concepts and data engineering best practices.
Experience with GCP.
Good verbal and written communication skills and analytical problem-solving ability.

Mid-level Data Engineer

Key skills