Responsible for designing, developing, and maintaining efficient and reliable data pipelines and databases. This role focuses on managing the ETL (Extract, Transform, Load) processes, creating databases and data marts, and ensuring data logistics and storage are optimized for performance and reliability.
The Data Engineer will work closely with other members of the data team to ensure data is properly ingested, cleaned, and stored for future analysis. He/she will take requirements from the reporting & business analysis team (product owner and reporting specialists) and create the appropriate views to secure the availability of the data.
He/she will ensure that proper monitoring is implemented.

Keyskills: Azure Databricks ETL Pyspark Hadoop SQL Azure Data Bricks SQL Azure Data Factory Azure Synapse Datafactory Azure Data Lake Data Lake Spark Python