Design, develop, and maintain ETL/ELT pipelines using SnapLogic.

Build and optimize complex SQL queries, stored procedures, and data transformation processes.

Integrate data from various sources including databases, APIs, cloud platforms, and enterprise applications.

Monitor data pipelines, troubleshoot issues, and ensure reliable data processing.

Collaborate with business analysts, data architects, and application teams to understand data requirements.

Perform data validation, reconciliation, and quality checks to ensure data accuracy.

Develop reusable integration components and maintain technical documentation.

Support production deployments, performance tuning, and ongoing enhancements.

Adhere to data governance, security, and compliance requirements.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

5+ years of experience in ETL/Data Engineering roles.





Strong hands-on experience with SnapLogic pipeline development and integration patterns.

Advanced SQL skills with expertise in query optimization and performance tuning.

Experience working with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.

Solid understanding of data warehousing concepts and ETL best practices.

Experience with Agile delivery methodologies.

Preferred Qualifications

Experience working with cloud platforms such as Azure, AWS, or GCP.

Knowledge of REST APIs, JSON, XML, and data integration frameworks.

Exposure to data lakes, analytics platforms, and modern data architectures.

Experience in Life Sciences, Healthcare, Manufacturing, or other large enterprise environments.

📌 Senior ETL Engineer (India)
🏢 Cognizant
📍 India