Senior Data Engineer

Job Summary

We are looking for an experienced Senior Data Engineer with 10–12 years of experience in data engineering and strong hands-on expertise in SnapLogic and Snowflake. The ideal candidate will be responsible for designing, developing, and supporting scalable data integration and data processing solutions using modern cloud data technologies, with a focus on data automation and analytics. SnapLogic and Snowflake are key skillsets for this position and are mandatory. Candidate must have relevant experience of 8 to 12 Years.

Key Responsibilities

• Design, develop, and maintain robust data integration pipelines using SnapLogic.
• Develop and optimize data solutions using Snowflake as the cloud data warehouse.
• Build scalable and reliable ETL/ELT pipelines to integrate data from multiple source systems.
• Develop data processing and automation solutions using Python.
• Design and implement efficient data models, transformations, and data workflows in Snowflake.
• Perform Snowflake performance tuning, query optimization, and warehouse optimization.
• Develop and maintain SnapLogic pipelines, integrations, mappings, transformations, and error-handling mechanisms.
• Schedule, monitor, and manage batch jobs and enterprise workflows using Control-M.
• Troubleshoot data pipeline failures, integration issues, and production incidents.
• Implement data quality, validation, logging, monitoring, and exception-handling mechanisms.
• Collaborate with architects, business analysts, application teams, and other stakeholders to understand data requirements.
• Participate in code reviews, technical design discussions, testing, deployment, and production support.
• Ensure data engineering solutions follow organizational standards for security, scalability, performance, and maintainability.
• Provide technical guidance and mentoring to junior and mid-level data engineers.
• Contribute to data engineering initiatives within Data Automation & AI and Data Engineering - Data Analytics - DataBricks (Technical) environments.
• Work effectively within Agile/Scrum development frameworks for data engineering and BI delivery.

Other Capabilities

• Strong analytical and problem-solving skills.
• Ability to independently design and deliver data engineering solutions.
• Strong communication and stakeholder management skills.
• Ability to work effectively in a collaborative, cross-functional environment.
• Strong troubleshooting and production-support capabilities.
• Ability to mentor and support junior and mid-level engineers across DA&A initiatives.