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Data engineer
1 month ago
Primary Responsibility as Data Engineer
Build and implement Py Spark-based data pipelines in Azure Synapse to transform and load data into ADLS in Delta format
Design and implement dimensional (star/snowflake) and 3 NF data models. Optimized for access using Power BI
Perform unit testing of data pipelines and its transformations
Design and build metadata driven data pipelines using Pyspark in Azure Synapse
Analyze and optimize Spark SQL queries
Optimize integration of data lake with Power BI semantic model
Collaborate with cross-functional teams (data architects, engineers, and POs) to ensure data models align with business needs
Perform STM(source to target mapping) from source to multiple layers in the data lake
Maintain version control and CI/CD pipelines in Git and Azure Dev Ops
Integrate Azure Purview to enable access controls. Additionally implement row level security
Minimum Skills Required:
7+ Years of experience in : SQL, Py Spark
Hands-on experience with Azure Synapse, ADLS, Delta format, and metadata-driven data pipelines
Experienced in implementing dimensional (star/snowflake) and 3 NF data models
Experienced in Py Spark and Spark SQL, including query optimization and performance tuning
Experienced in writing complex SQL including windowing functions
Experienced in performing Source-to-Target Mapping (STM) by analyzing source systems and defining transformation logic
Strong problem-solving and analytical skills for debugging and optimizing data pipelines in Azure Synapse
Familiarity with CI/CD practices in Git and Azure Dev Ops
Working experience in Azure Dev Ops-based development environment
