Job Overview :

We are looking for an experienced Senior Data Engineer with strong hands-on experience in SnapLogic and Snowflake. The candidate will be responsible for developing and supporting scalable data integration, ETL/ELT and data processing solutions.

Key Responsibilities :

- Design, develop and maintain data integration pipelines using SnapLogic.

- Develop and optimize data solutions using Snowflake.

- Build ETL/ELT pipelines integrating data from multiple source systems.

- Use Python scripting for data processing and automation.

- Develop data models, transformations and workflows in Snowflake.

- Perform Snowflake query and warehouse performance tuning.

- Develop SnapLogic mappings, transformations and error-handling mechanisms.

- Schedule, monitor and manage enterprise workflows using Control-M.

- Troubleshoot pipeline failures and production issues.

- Implement data quality, validation, logging and monitoring.

- Work with architects, business analysts and application teams.

- Participate in design, code reviews, testing and deployment.

- Follow security, scalability, performance and maintainability standards.

- Provide technical guidance to junior team members.

Tech Stack :

- SnapLogic, Snowflake, Python, Control-M, SQL, ETL/ELT, Data Integration, Data Warehousing, Data Modeling

Good to Have :

- Cloud data engineering, CI/CD and Git, Data quality/governance, Production support, Agile/Scrum, Large-scale enterprise projects