OPEN ROLE — VIA SYMPHONI HR

Data Engineer / Data Quality Analyst.

MumbaiHybrid5–8 yearsPosted 2026-08-24

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a prominent global firm in the computer software industry, known for its innovative solutions and commitment to technological excellence. They operate at a large scale, serving a diverse international clientele. The company fosters a dynamic and collaborative work environment, encouraging continuous learning and professional growth.

About the role.

This hybrid role is for a Data Engineer / Data Quality Analyst to join a critical team. You will be responsible for designing, developing, and maintaining robust data solutions, with a strong focus on ensuring data accuracy and integrity. The position involves working with complex datasets and implementing data quality frameworks to support business intelligence and analytics.

What you will do.

  • Design and implement scalable data pipelines and ETL processes
  • Develop and optimize SQL queries for data extraction, transformation, and loading
  • Perform data profiling and analysis to identify data quality issues
  • Implement and monitor data quality KPIs and metrics
  • Collaborate with stakeholders to define data quality rules and standards
  • Troubleshoot and resolve data-related issues and discrepancies
  • Contribute to the development and maintenance of data governance frameworks
  • Utilize data cataloging tools like Collibra for data lineage and metadata management

What you bring.

  • 5–8 years of experience in Data Engineering or Data Quality roles
  • Strong proficiency in SQL, including complex queries, joins, and window functions (e.g., RANK, DENSE_RANK)
  • Experience with data quality methodologies and tools
  • Familiarity with data cataloging and governance platforms, such as Collibra
  • Proven ability to analyze large datasets and identify data inconsistencies
  • Understanding of data warehousing concepts and principles
  • Excellent problem-solving skills and attention to detail
  • Ability to work effectively in a hybrid work environment
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