Data Engineer.
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 strong commitment to innovation and excellence. They operate at a significant scale, leveraging advanced technology to provide secure and reliable banking solutions to millions of customers worldwide. The organization fosters a culture of continuous improvement, collaboration, and professional growth.
About the role.
As a Data Engineer, you will be responsible for building and maintaining robust systems that collect, store, process, and analyze data. You will play a critical role in ensuring data accuracy, accessibility, and security while collaborating with cross-functional teams to deploy machine learning models and optimize performance. This role offers the opportunity to work on high-impact data products within a dynamic, agile environment.
What you will do.
- Design and maintain scalable data pipelines to ensure the transfer of durable and consistent data.
- Implement and manage data warehouses and data lakes that adhere to strict security and performance standards.
- Develop sophisticated processing and analysis algorithms to handle complex data volumes.
- Collaborate with data scientists to build, deploy, and monitor machine learning models.
- Lead and supervise a team, providing guidance, allocating resources, and supporting professional development.
- Identify performance bottlenecks and lead engineering initiatives to improve system stability and throughput.
- Partner with stakeholders to deliver high-performing solutions using agile delivery methodologies.
- Ensure compliance with risk controls, performance standards, and service-level expectations.
- Act as a technical advisor and point of contact for stakeholders across the organization.
What you bring.
- 4–8 years of professional experience in data engineering or a related field.
- Strong expertise in data pipelines, data warehousing, and data lakes.
- Proficiency in Oracle, SQL Server, and AWR analysis.
- Experience with cloud platforms including AWS and Azure.
- Knowledge of microservices and containerized architecture.
- Familiarity with CI/CD tools such as Jenkins and Git.
- Experience with performance testing and engineering in cloud environments.
- Strong understanding of data products and catalog services.
- Proven ability to lead teams and influence decision-making processes.
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