DATA ENGINEER @ LEADING FINANCIAL INSTITUTION (SEMI-GOVERNMENT BANK)
We are seeking a highly experienced Data Engineer for a high-impact role with a leading financial institution (semi-government Bank) located in BKC, Mumbai. In this position, you will be responsible for designing and building scalable batch and real-time data pipelines, as well as developing data models, marts, and feature stores for advanced analytics and reporting. You will also play a critical role in implementing data quality, lineage, and governance frameworks to ensure data security and compliance with regulatory standards. The role is a full-time contract for an initial three-year term, which is extendable. The salary offered for this position is 35–40 LPA.
As a core member of the data team, you will support data science and analytics units with optimized datasets that impact credit, risk, and banking operations. You will work on enterprise-level data platforms using modern technologies such as Spark, Python, and various cloud platforms. This is a unique opportunity for a professional with over 8 years of experience to work in a high-stakes environment within the financial services sector, contributing to the development of robust data infrastructures that drive business decisions.
As a core member of the data team, you will support data science and analytics units with optimized datasets that impact credit, risk, and banking operations. You will work on enterprise-level data platforms using modern technologies such as Spark, Python, and various cloud platforms. This is a unique opportunity for a professional with over 8 years of experience to work in a high-stakes environment within the financial services sector, contributing to the development of robust data infrastructures that drive business decisions.
Key Requirements
Minimum of 8 years of professional experience in Data Engineering or related roles.
Strong proficiency in SQL and Data Modelling including OLTP/OLAP and Star/Snowflake schemas.
Hands-on experience with programming languages such as Python, Scala, or Java combined with Spark.
Proven experience working with ETL/ELT tools like Airflow or Azure Data Factory.
Significant exposure to major Cloud Platforms including AWS, Azure, or GCP.
In-depth knowledge of NoSQL and Graph Databases for varied data storage needs.
Solid understanding of Data Governance, Master Data Management (MDM), and Data Quality standards.
Previous professional experience in Banking, NBFC, Financial Services, or Fintech industries.
Deep understanding of regulatory and compliance data requirements specific to the financial sector.
Relevant certifications in Cloud Computing or Data Engineering are highly preferred.
Ability to build and maintain scalable real-time and batch data pipelines.
Strong communication skills to collaborate with data science and operations teams.