Data Engineer

September 22, 2026
Application ends: December 21, 2026
Apply Now

Job Description

Responsibilities

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

Are you interested in this position?
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