Job
Description
Responsibilities: Design, develop, and implement scalable data strategies aligned with business goals, including data modelling, migration and warehousing. Integrate and correlate data from different business platforms/departments. Analysing, planning, and defining data architecture framework for all the data warehouse components, ensuring a flexible architecture to support the companys current and future growth. Data Ingestion Data Processing, Integration, Computation and Transformation Data Storage (Data Lake and Data Warehouse) Data Delivery – Pipeline and Orchestration Data Consumption – BI, Analytics and Advanced Analytics (Data Science) Data Management – MDM, Data catalog and Data Governance, Enterprise Data Management (availability, quality, and access) Data Security, Access management and Data Privacy Continually monitor, refine, and report data management system performance. Collaborate with Cross-functional teams to integrate and streamline data across platforms. Must Have: Master’s\Bachelor’s Degree in Computer Science, Data Science, Information Technology, or related fields. 3-7 years of experience with programming languages such as PL/SQL , Python, and working with databases like Redshift, Oracle RAC, SQL Server and MySQL. Hands-on experience with Snowflake and strong knowledge of data warehousing and architecture. Good understanding of data and schema standards and concepts, database design, implementation, troubleshooting and maintenance. Good understanding of data modelling, RDBMS , cloud computing, data framework\architecture. Experience with data lakes and modern data warehousing technologies. Good to have relevant industry experience in an NBFC or similar financial institutions.
