Data Engineer – Python & SQL

About the role

NCS is seeking a Data Engineer with strong Python and SQL expertise to design, implement, and maintain data quality frameworks across multiple systems. The role focuses on automating data validation, supporting data migration, and ensuring compliance with governance policies.

Key responsibilities

• Design, implement, and maintain data quality rules, standards, and monitoring processes.
• Develop automated data validation and reconciliation workflows.
• Identify, analyze, and resolve data quality issues across multiple systems.
• Collaborate with Data Engineers, Data Analysts, BI teams, and business stakeholders to improve data quality.
• Perform root‑cause analysis for recurring data issues and recommend preventive measures.
• Create dashboards and reports to monitor key data quality metrics.
• Support data migration, integration, and ETL testing activities.
• Document data quality processes, business rules, and technical specifications.
• Participate in continuous improvement initiatives to enhance data reliability and operational efficiency.

Required profile

• Bachelor's degree in Computer Science, IT, Engineering, Mathematics or a related field.
• 2–5+ years of experience in data quality, data engineering, database administration or related roles.
• Strong analytical, problem‑solving and communication skills.
• Understanding of data warehousing concepts and cloud platforms.

Required skills

• Python
• SQL
• ETL tools and data integration platforms
• Relational databases: Oracle, SQL Server, PostgreSQL, MySQL
• Java or Scala (advantage)
• Data quality and governance tools: Informatica Data Quality, Talend, Collibra, Ataccama, Great Expectations
• Cloud platforms: AWS, Azure, Google Cloud
• Apache NiFi