Senior Data Engineer

Job Title: Senior Data Engineer

Location: Mumbai BKC, Work from Office

Experience: 5–8 Years

About the Role

We are looking for an experienced Senior Data Engineer to join our growing Data & Analytics team. In this role, the person will be responsible for architecting, building and managing secure, scalable, and high-performance data pipelines and data warehouses that support critical reporting, regulatory compliance, and analytics across financial domains.

In this role the person will work closely with business, risk and compliance functions to deliver robust data platforms and support decision-making with reliable, timely, and governed data.

Key Responsibilities

• Design, develop and maintain enterprise-grade Data Warehouse solutions to support financial reporting, compliance, and auditing.

• Design, develop and maintain intelligent and cutting edge Data platforms to enable various business applications including GenAI applications.

• Build and manage end-to-end ETL/ELT pipelines that ingest data from core financial systems, CRM platforms, trading systems, and third-party financial data providers.

• Ensure high data quality, accuracy, and reconciliation across financial systems.

• Work with stakeholders in business, accounting, risk, and compliance to understand reporting needs and translate them into scalable data models.

• Implement and maintain data marts, star/snowflake schemas, and dimensional modelling optimized for financial analytics.

• Apply data governance, lineage tracking, and access controls in line with industry regulations.

• Automate validation, exception handling, and auditing of financial data pipelines.

• Partner with cloud engineering teams to optimize infrastructure costs and performance for large-scale financial data workloads.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

• 5–8 years of experience in data engineering, preferably in banking, fintech, wealth, or other financial institutions

• Prior experience of working in BFSI setup and applications.

• Extensive experience in designing and developing Graphical/Vector databases for GenAI.

• Understanding of designing data pipelines for prompt enrichment and context injection.

• Have already built RAG pipelines.

• Proven expertise in data warehousing platforms, such as:

o Snowflake, Amazon Redshift, Google Big Query, or Azure Synapse

o Strong grasp of data partitioning, performance tuning, and cost optimization

• Proficient in SQL, Python, or Scala for building robust data pipelines.

• Deep understanding of data modelling principles.

• Hands-on with ETL frameworks and orchestration tools:

o Apache Airflow, Azure Data Factory, AWS Glue, SSIS.

• Experience working with cloud platforms (AWS, GCP, or Azure) and secure handling of sensitive data.

• Solid understanding of data governance, financial audit requirements, and compliance controls.

• Experience with Integration of Market data providers (e.g., Bloomberg, Reuters) will be helpful.

• Exposure to BI/reporting tools: Power BI, Tableau, Looker is an added advantage.

What We Offer

• Competitive compensation and performance-linked incentives.

• Access to leading cloud and data technologies.

• Opportunity to work on high-impact financial systems.

• Collaborative environment with finance and tech professionals.

• Support for certifications (Snowflake, AWS, Azure, OSS, etc.).