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Urgent! Senior Data Engineer – Big Data & AWS (Python + PySpark) Job Opening In India, India – Now Hiring Coforge

Senior Data Engineer – Big Data & AWS (Python + PySpark)



Job description

We are hiring for the position of Senior Data Engineer – Big Data & AWS (Python + PySpark) at Coforge Ltd.

Job Location: Greater Noida & Hyderabad Only.

Experience:

5 to 7 Years

Employment Type:

Full-Time

Send your updated CV to

Gaurav.2.Kumar@coforge.com

For queries, WhatsApp: 9667427662

If you are a data enthusiast with a passion for building scalable, high-performance data solutions, consider joining us.

This role offers the opportunity to work with cutting-edge technologies in a collaborative and innovative environment.

Key Responsibilities:

- Design and develop high-volume, mission-critical data engineering solutions.
- Enhance applications to meet business and audit requirements.
- Optimize Spark jobs for large-scale data processing.
- Collaborate with onshore and offshore teams to ensure platform availability.
- Participate in the full development lifecycle: coding, testing, and release.
- Support weekend release activities and resolve application issues.

Must-Have Skills:

- Strong hands-on experience with Python and PySpark.
- Proficiency in Spark DataFrames, Jupyter Notebook, and PyCharm.
- Experience with AWS services: EMR, Athena, Glue, Lambda, EC2, S3, SNS.
- Familiarity with ETL processes, handling various file formats (CSV, JSON, XML, etc.).
- Knowledge of data warehousing concepts and columnar storage formats (Parquet, Avro, ORC).
- Version control using Git and CI/CD with Jenkins.
- Awareness of DevOps and automated release pipelines.

Good to Have:

- Experience with AWS databases (Aurora, RDS, Redshift, DynamoDB).
- Exposure to BFSI domain and API Gateway platforms.
- Knowledge of front-end frameworks.
- Experience working with US clients.


Required Skill Profession

Computer Occupations



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