Job Description - Sr Data Engineer

Experience: 5 to 7 years

Preferred Locations: Delhi NCR, Gurgaon, Noida, Bangalore, Jaipur, Indore, Ahmedabad (please avoid Pune and Hyderabad)

Mandatory Skills: Strong hands-on experience in Snowflake, Python, SQL, and AWS Glue

Job Summary

We are looking for a highly skilled Data Engineer with strong expertise in Snowflake, Python, SQL, AWS Glue, and up-to-date data engineering practices. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, ensuring data quality, and supporting business intelligence and analytics initiatives.

Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of data.
- Build and optimize data models, data warehouses, and data lake solutions.
- Develop robust data integration workflows using AWS Glue and orchestration tools such as Apache Airflow.
- Manage and optimize Snowflake environments, including performance tuning, query optimization, and cost management.




- Write efficient and scalable SQL queries and Python scripts for data transformation and automation.
- Implement CI/CD practices and deployment automation using Azure DevOps.
- Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Business Stakeholders.
- Ensure data quality, governance, security, and compliance across data platforms.
- Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.
- Troubleshoot and resolve data pipeline and performance-related issues.

Required Skills & Qualifications
- 5+ years of experience in Data Engineering or related roles.
- Strong proficiency in SQL and Python.
- Hands-on experience with Snowflake Data Warehouse architecture, administration, and performance optimization.
- Proven experience with AWS Glue for data integration and transformation.
- Experience with workflow orchestration tools such as Apache Airflow.
- Strong

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