Senior Data Engineer - SnapLogic, Snowflake, Python, Control M

Mandatory Skills

• 1012 years of overall Data Engineering experience.
• Strong hands-on experience with SnapLogic for enterprise data integration and pipeline development.
• Strong hands-on experience with Snowflake, including data warehousing, SQL, performance tuning, optimization, and data modeling.
• Strong programming experience in Python for data processing and automation.
• Hands-on experience with Control-M for enterprise job scheduling, workflow orchestration, and monitoring.

Additional Skills

• Strong understanding of ETL/ELT concepts and data integration patterns.
• Strong SQL development and query optimization skills.
• Experience working with relational and cloud-based data sources.
• Understanding of data warehouse architecture and dimensional/data modelling.
• Experience with data pipeline monitoring, troubleshooting, and production support.
• Knowledge of cloud data engineering and modern data platform architecture is preferred.
• Experience working in Agile/Scrum development environments.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience working on large-scale enterprise data engineering projects.
• Experience with CI/CD, version control, and automated deployment processes.
• Good understanding of data governance, security, and data quality practices.

Key Competencies

• 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.

Experience Required

10–12 Years

Must-Have Skills

SnapLogic | Snowflake | Python | Control-M

Important: Candidates without strong hands-on SnapLogic and Snowflake experience should not be considered for this position.