Data Engineer
Summary
Data Engineer responsible for building ETL pipelines, analyzing complex datasets, and ensuring data quality using PySpark, Databricks, SQL, and AWS on-site in Hyderabad.
Please find the below JD for Data Engineering.
Position: Data Engineer
Experience: 4 to 10 Years experience in PySpark and Data bricks
Location : Hyderabad
Overview:
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 strong 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.