Job Summary

We are seeking an experienced AWS Data Engineer with 5+ years of expertise in designing, developing, and maintaining scalable data solutions. The ideal candidate should have robust SQL programming skills, hands-on experience with AWS data services, data warehousing, ETL development, data modeling, and building robust data pipelines.

Key Responsibilities

Design, develop, and optimize scalable data pipelines for batch and real-time data processing.
Develop and maintain ETL processes for data extraction, transformation, and loading.
Write complex SQL queries using Window Functions, CTEs, Aggregate Functions, Joins, and Query Optimization techniques.
Design and implement data warehouse solutions to support reporting and analytics.
Perform data modeling and data due diligence to ensure data quality and integrity.
Build and manage cloud-native data solutions using AWS services.
Optimize database performance and troubleshoot data-related issues.




Collaborate with business stakeholders, analysts, and development teams to deliver high-quality data solutions.
Ensure adherence to data governance, security, and best practices.

Mandatory Skills

5+ years of experience in Data Engineering.
Strong SQL coding skills (Window Functions, Aggregate Functions, CTEs, Joins, Query Optimization).
Hands-on experience with Data Warehousing and ETL development.
Experience in Data Modeling and Data Due Diligence.
Strong experience in designing and building Data Pipelines.
Hands-on experience with AWS data services such as:
AWS Glue
Amazon Redshift
Amazon DynamoDB
AWS Data Catalog/Crawler
Good understanding of cloud-based data architectures and data integration.
Skills: sql,aws,data warehouse,data modelling

📌 AWS Data Engineer (Bengaluru)
🏢 Zorba AI
📍 Bengaluru