OPEN ROLE — VIA SYMPHONI HR

Senior Data Engineer.

BengaluruHybrid8–15 yearsPosted 2026-09-07

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 financial services institution with a significant presence in the banking sector. They are committed to driving innovation through advanced data strategies and maintaining high standards of operational excellence across their international operations.

About the role.

This role involves designing, developing, and maintaining scalable data solutions to support complex enterprise requirements. You will build robust data pipelines, enable large-scale data processing, and collaborate with cross-functional teams to deliver secure and performant data products.

What you will do.

  • Design and maintain scalable data architectures and pipelines for consistent data processing.
  • Develop and implement data warehouses and data lakes that adhere to strict security and governance standards.
  • Create processing and analysis algorithms to handle complex data volumes and velocity.
  • Collaborate with data scientists to build, deploy, and optimize machine learning models.
  • Lead team initiatives, set objectives, and coach team members to ensure high-quality delivery.
  • Advise on complex technical issues and contribute to the development of data policies and procedures.
  • Mitigate operational risks by strengthening controls and governance frameworks.
  • Influence stakeholders and communicate complex technical information effectively across the organization.

What you bring.

  • 8–15 years of professional experience in data engineering.
  • Expert-level proficiency in Python and PySpark.
  • Strong hands-on experience with AWS cloud services including S3, Glue, EMR, Lambda, and DynamoDB.
  • Proven experience with Databricks or Snowflake and modern data platform architectures.
  • Solid understanding of ETL/ELT optimization and large-scale distributed data processing.
  • Experience with Airflow and Git-based source control platforms.
  • Ability to implement data quality controls, validation frameworks, and automated testing.
  • Strong leadership skills with the ability to influence decision-making and mentor team members.
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