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
Work together with architects, analysts and testers to ensure data quality and integrity
Support data migration and modernization initiatives in cloud environments (GCP)

Proficiency in ANSI SQL
Data modeling and relational database design
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
Strong verbal and written communication skills and analytical problem-solving ability
Experience with BI tools, especially Qlik (QlikView, Qlik Sense or Qlik Cloud)

Data Engineer – Mid-level

Key skills