6+ years’ overall experience preferably in data domain (data analysis, database developer)
Minimum 3 years’ experience as a cloud-based Data Engineer
Minimum 2 years’ experience and strong knowledge of Azure Data Services such as Azure Data Lake Storage, Blob Storage, Azure Data Factory,
Minimum 2 years’ experience on Apache Spark and / or Azure Databricks, Python and / or Scala
Good understanding of data integration and warehousing (ETL, ELT) processes
Strong knowledge of Database concepts, SQL and experience in working with Database clients like, TOAD, SQL developer, SQL Server Management Studio
Good knowledge of NoSQL / Document DB.
Good understanding of Enterprise Information Model and Enterprise Data Warehouse
Proficient in analyzing business requirements and mapping them to technical requirements
Data Analysis and Interpretation, and Data Issue Debugging Skills
Good knowledge of DevOps tools and processes as it applies to Data Engineering ![]()
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