Role Overview

We are looking for an experienced AWS Data Engineer with strong hands-on expertise in AWS, Python, SQL, Snowflake, and Jenkins. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data solutions on AWS, with a strong focus on data integration, transformation, automation, and performance.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.
- Develop data processing and transformation solutions using Python and advanced SQL.
- Work extensively with Snowflake for data ingestion, transformation, warehousing, and optimization.
- Develop and maintain automated CI/CD pipelines using Jenkins.
- Integrate data from multiple sources into AWS and Snowflake environments.
- Build reliable and reusable data engineering frameworks and workflows.
- Optimize SQL queries, data pipelines, and Snowflake workloads for performance and cost.
- Implement data quality, validation, monitoring, and error-handling mechanisms.
- Collaborate with Data Architects,



Analysts, Developers, and business stakeholders.
- Troubleshoot production data pipelines and resolve data-related issues.
- Follow best practices for security, scalability, reliability, and maintainability.

Mandatory Skills
- AWS – strong hands-on experience with core AWS data services.
- Python – strong programming and scripting skills.
- SQL – advanced SQL, complex queries, joins, CTEs, window functions, and query optimization.
- Snowflake – hands-on experience with data warehousing, SQL development, data loading, and performance tuning.
- Jenkins – experience in CI/CD pipeline development and automation.

- Solid understanding of ETL/ELT concepts and data engineering principles.
- Experience working with large-scale datasets and production data pipelines.

Skills: jenkins,sql,data,automation,transformation,python,pipelines,aws,snowflake

📌 AWS Data engineer (Gurugram)
🏢 CG-VAK Software u0026 Exports
📍 Gurugram