The Data Engineer (Senior Analyst) will be responsible for transforming raw data into valuable data systems. The role involves strong analytical skills, programming fluency, and experience with data pipelines and ETL/ELT processes. Collaboration with cross-functional teams and maintaining data quality are key aspects of the position.
Requirements
- 5-7 years professional experience as a Data engineer/Data Modeler
- Strong experience working with Microsoft Azure Data platform services like: Azure Data Lake Gen2, Azure Data Factory, Azure Databricks
- Advanced in building ETL and data pipelines on Databricks using data engineering languages like Python, PySpark
- Proficiency in SQL
- Experience with ETL processes (Data Sourcing, Transformations, Data Quality, etc.)