Data Engineer

Strong proficiency in Python for data transformation and processing logic.

Advanced SQL skills, including analyzing and rewriting complex queries.

Experience with distributed data processing frameworks (e.g., Spark / PySpark).

Knowledge of data modelling, schema design, metadata, and lineage principles.

Experience working with cloud-based data ecosystems (Azure preferred).

Strong understanding of data validation frameworks, reconciliation techniques,

and data quality controls.

Familiarity with rulebased processing or workflowdriven data engines.

Strong analytical and problemsolving ability for debugging data logic.

Ability to collaborate with analysts and business users and convert requirements

into data logic.