Description

Build and optimize scalable data pipelines and analytics models on AWS.

This role is hybrid.

Responsibilities

• Develop and maintain data pipelines using AWS Glue and PySpark.
• Build and optimize data models and transformations for Amazon Redshift.
• Implement scalable batch data processing jobs and ingestion workflows.
• Write and tune SQL for data extraction, validation, and analytics.
• Collaborate with engineering teams to deliver production-ready datasets.

Required Skills

• 5-8 years of experience in Data Engineering.
• Strong hands-on experience with AWS services.
• Experience with AWS Glue for data integration and ETL.
• Strong knowledge of PySpark and distributed data processing.
• Hands-on experience with Amazon Redshift.
• Strong SQL skills for data extraction, transformation, and validation.
• Experience building and maintaining scalable data pipelines.

Preferred Skills

• Experience with Databricks.
• Knowledge of AWS data services such as S3, Lambda, and EMR.

Key Skills

Education

Any Graduate