Data Engineer

Data Engineering Below is the JD followed for Data Engineering Position : Data Engineer with 4 to Y8ears experience in AWS, PySpark, Python, SQL and Data bricks Location : Hyderabad 1. 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. 2. The ideal candidate will have a strong background in python, ETL, pyspark, spark, sql, Amazon Web Services, and Databricks. Experience in Tableau is a plus. Responsibilities: 1. Develop and maintain ETL pipelines to support data processing, analytics, and visualization needs. 2. Analyze large, complex data sets to identify patterns, trends, and insights. 3. Collaborate with cross-functional teams to understand business requirements and provide data- driven solutions. 4. Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards. 5. Develop and implement validation processes to ensure data accuracy and consistency. 6. Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.

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