Description

You will design, implement, and manage enterprise-grade data integration solutions and ETL pipelines.

This role is on-site.

Responsibilities

• Design and develop scalable, secure data integration and ETL solutions on AWS.
• Implement and optimize data pipelines using AWS Glue, Lambda, Redshift, S3, and Data Pipeline.
• Execute data modeling, warehousing, and big data solutions to support analytics.
• Ensure data quality, governance, and compliance with industry standards.
• Troubleshoot and optimize data processes for high performance and reliability.

Required Skills

• 10+ years of overall IT experience with 7+ years in data integration and ETL.
• Proficiency in Python for data engineering tasks.
• Expertise in SQL and relational databases, specifically MySQL and PostgreSQL.
• Strong hands-on experience with AWS services: Glue, Lambda, Redshift, S3, and Data Pipeline.
• Experience with data modeling, warehousing, and big data frameworks.
• Knowledge of data governance, security, and compliance best practices.
• Bachelor’s or Master’s degree in Computer Science or related field.

Preferred Skills

• Experience with GCP data services.

Key Skills

Education

Any Graduate