OPEN ROLE — VIA SYMPHONI HR

Senior Data Engineer.

ChennaiHybrid7–10 yearsPosted 2026-10-17

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 leading global professional services firm operating at the intersection of accounting and finance. They are committed to building diverse, high-performing teams that leverage cutting-edge technology to solve complex business challenges for clients worldwide. The organization fosters an inclusive culture that prioritizes professional growth, wellbeing, and a balanced work environment.

About the role.

This role sits within a strategic data group focused on building and scaling robust data platforms. You will contribute to the development of an enterprise-grade data ecosystem, aligning with modern data mesh strategies to drive actionable insights. The position offers the opportunity to work on high-impact technical solutions within a collaborative, innovation-driven environment.

What you will do.

  • Design and develop scalable data pipelines and platforms using modern engineering practices.
  • Collaborate with internal business groups to define requirements and implement effective data solutions.
  • Establish and monitor technical best practices for development methodologies and tools.
  • Analyze complex business requirements to provide innovative and creative technology recommendations.
  • Contribute to project planning, feasibility analysis, and estimation of development timelines.
  • Integrate AI technologies into existing data workflows to enhance platform capabilities.
  • Ensure the reliability, security, and performance of enterprise data systems.

What you bring.

  • 7–10 years of professional experience in software and data engineering.
  • Expert-level proficiency in Snowflake, Airflow, and DBT.
  • Strong programming skills in Python.
  • Solid understanding of database fundamentals and data architecture.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Experience building and maintaining enterprise-scale data platforms.
  • Familiarity with AI technologies and their practical applications.
  • Knowledge of Java is considered a strong advantage.
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