4 to 10 Years experience in PySpark and Data bricksLocation :
HyderabadOverview:In this role candidate will be responsible for understanding complex data sets, managing multiple disparate data sources, and implementing strong validation processes to ensure data quality.The ideal candidate will have a robust background in python, ETL, pyspark, spark, sql, Amazon Web Services, and Databricks. Experience in Tableau is a plus.Responsibilities:Develop and maintain ETL pipelines to support data processing, analytics, and visualization needs.Analyze large, complex data sets to identify patterns, trends, and insights.Collaborate with cross-functional teams to understand business requirements and provide data- driven solutions.Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards.Develop and implement validation processes to ensure data accuracy and consistency.Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.
📌 Data Engineer (Mumbai)
🏢 ADP
📍 Mumbai
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