Description

You will build and maintain scalable data ingestion and transformation frameworks on AWS, enabling analytics and AI-driven initiatives.

This role is on-site.

Responsibilities

• Design and maintain enterprise-scale data pipelines using AWS services.
• Implement data ingestion frameworks using Fivetran.
• Develop ETL/ELT workflows using AWS Glue and PySpark.
• Build and optimize data lake solutions on AWS.
• Implement data quality, validation, and monitoring frameworks.

Required Skills

• 10+ years of experience in data engineering.
• Expertise in Fivetran for data ingestion.
• Strong proficiency in AWS Glue and PySpark.
• Advanced Python and SQL skills.
• Experience with Git and CI/CD pipelines.
• Solid understanding of Data Warehousing and Data Lake Architecture.

Preferred Skills

• Exposure to Amazon Bedrock and GenAI architectures.
• Experience with Snowflake, dbt, or Apache Airflow.

Key Skills

Education

Any Graduate