Salary
8-15 LPA
Batches
2+Y
Apply Route
100% Direct
About The Role
We are looking for a Data Engineer to build scalable data pipelines, optimize data workflows, and ensure high data quality across systems.
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines to support business and analytical needs.
Work extensively with Databricks, Python, and PySpark to process large datasets.
Build and manage DAGs using Apache Airflow for workflow orchestration.
Collaborate with cross-functional teams to understand data requirements and translate them into efficient engineering solutions.
Develop and optimize complex SQL queries and participate in data modeling activities for relational and cloud data warehouses.
Work with Amazon S3 for data storage.
Requirements
- Strong technical foundations in data engineering.
- Ability to work independently and collaborate in a dynamic environment.
- Experience with Databricks, Python, PySpark, and Apache Airflow.
- Knowledge of SQL and data modeling.
- Ability to design and develop scalable data pipelines.
Eligibility Checklist
B.Tech/M.Tech/MCA
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