2+ years of professional work experience on data pipeline implementation using Databricks , datalake is required.

3+ years of hands-on programming experience using Python in a cloud environment (AWS preferred) is required.

2+ years of professional work experience using real-time streaming systems Event Grid and Event topics is highly preferred.

Expert level knowledge of using SQL to write complex, highly-optimized queries across large volumes of data is required.

Experience building conceptual, logical and/or physical database designs using tools such as ErWin, Visio or Enterprise Architect.

2+ years of working with one or more databases like Snowflake, Redshift, Synapse, Oracle, SQL Server, Teradata, Netezza, Hadoop, Mongo DB or Cassandra is required.

Knowledge or experience in architectural best practices in building data lakes is required.

Strong problem solving and troubleshooting skills with the ability to exercise mature judgement.

Ability to work independently and provide guidance to junior data engineers.