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 solid validation processes to ensure data quality.

The ideal candidate will have a solid 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 Hyderabad (India)
🏢 ADP
📍 India