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Job Description

Key Responsibilities :


- Develop and maintain ETL/ELT data pipelines using Python & AWS.

- Integrate data from multiple sources (APIs, databases, files).

- Work with AWS services like S3, Glue, Lambda, Redshift, Kinesis, EMR.

- Design efficient data models and ensure data quality.

- Collaborate with data, analytics, and DevOps teams.

Required Skills :

- Strong Python (Pandas, NumPy, PySpark preferred).

- Hands-on AWS (S3, Glue, Lambda, Redshift, etc.).

- Solid SQL and data modelling experience.

- Knowledge of Airflow / Step Functions / CI-CD is a plus.

- Excellent problem-solving and communication skills.

Qualifications :


- Bachelor's degree in Computer Science / IT or related field.

- 5-10+ years of experience in Data Engineering or Python development.

- AWS certification is an added advantage.

The job is for:

May work from home
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