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

Job description

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.