Senior Engineer, Data Engineering

Overview

Senior Engineer, Data Engineering role supporting the development and maintenance of scalable data pipelines and cloud-based data platforms, working with global teams and business partners.

What you'll do

• Develop and maintain scalable data pipelines, ETL/ELT processes, and data integrations.
• Support ingestion of structured and unstructured data from internal and external sources.
• Assist with building and optimizing cloud-based data solutions and enterprise data platforms.
• Work closely with global teams on design, architecture and build out of data platform.
• Partner with business teams to understand reporting and analytics requirements.
• Monitor data quality, performance, and reliability across data environments.
• Contribute to data governance, lineage, and documentation initiatives.
• Participate in code reviews and engineering best practices.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; equivalent relevant experience will be considered.
• 6 to 10 years of hands-on data engineering, data solutions, or financial technology experience.
• Hands-on experience designing, developing, deploying, and supporting enterprise-scale data pipelines using Azure Databricks, PySpark, Delta Lake, Python, SQL, and Azure Data Factory, including both batch and streaming workloads.
• Hands-on Databricks experience, including notebooks, workflows/jobs, Spark concepts, Delta Lake patterns, and production support.
• Python and/or PySpark for transformation, validation, automation, and testing.
• Strong ETL/ELT, data modeling, integration, and curated-data-layer experience.
• Experience building domain-specific transformations, integrations, data products, validation, reconciliation, monitoring, and controls.
• Ability to own technical delivery while working effectively within a broader enterprise data and reporting operating model.
• Working knowledge of Unity Catalog, metadata, lineage, master/reference data, governance, controls, and auditability concepts.
• Experience structuring governed data for dashboards, reports, extracts, downstream applications, operational workflows, and analytics.
• Strong understanding of CI/CD, Infrastructure-as-Code (Terraform), GitHub Actions, Azure DevOps, automated testing, release management, and environment promotion strategies supporting both platform and data engineering workloads.

Nice to have

• Experience within financial services, asset management, accounting, investment operations, or another controlled enterprise data environment.

Details

• Location: Mumbai, India.
• Reporting relationship: Partner, Chief Information Officer.