Data Engineer – SQL & Python

About the role

NCS, a leading AI Tech Services company, is looking for a Data Engineer with strong SQL and Python expertise to design, implement and maintain data quality rules and monitoring processes across its platforms.

Key responsibilities

• Design, implement and maintain data quality rules, standards and monitoring processes.
• Develop automated data validation and reconciliation workflows.
• Identify, analyse 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.
• Ensure compliance with data governance policies and regulatory requirements.
• Document data quality processes, business rules and technical specifications.
• Support data migration, integration and ETL testing activities.
• 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.

Required skills

• SQL for data analysis and validation.
• Python (experience with Java or Scala is a plus).
• Relational databases: Oracle, SQL Server, PostgreSQL, MySQL.
• ETL tools and data integration platforms.
• Data quality/governance tools such as Informatica Data Quality, Talend, Collibra, Ataccama, Great Expectations.
• Apache NiFi.
• Cloud platforms: AWS, Azure, Google Cloud.