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Azure Data Engineer
3 months ago
Responsibilities:
- Primary skill : Databricks, ADF, Pyspark
- Secondary skill : Azure, RDBMS, datawarehouse
- Experience required : 4.5 years - 12 years
- Around 4.5 years of IT experience with at least 2+ yrs in ETL/Pipeline Development using tools such as Azure Databricks/Apache Spark and Azure Data Factory with development expertise on batch and real-time data integration.
- Experience in programming using Python
- Good knowledge of RDBMS and should be able to write complex SQL queries
- Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements
- Should be able to understand system architecture which involves Data Lakes, Data Warehouses and Data Marts
- Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server
- Experience to own end-to-end development, including coding, testing, debugging and deployment
- Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies
- Experience working with structured and unstructured data
- Familiarity with Azure services like Azure functions, Azure Data Lake Store, Azure Cosmos
- Must be team oriented with strong collaboration, prioritization, and adaptability skill
- Excellent written and verbal communication skills including presentation skills