Mandatory Skills
1012 years of overall Data Engineering experience.
Strong hands-on experience with SnapLogic for enterprise data integration and pipeline development.
Robust 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 workplace.
Strong troubleshooting and production-support capabilities.

Experience Required 10–12 Years

Must-Have Skills

SnapLogic | Snowflake | Python | Control-M

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

📌 Senior Data Engineer Snaplogic, Snowflake, Python, Control M Chennai
🏢 Mastek
📍 Chennai