Technology Quality

7 days ago

Kolkatta, India Elevarae Full time

Excited to stay in the IT software product space and working with a team, building cutting-edge products at the intersection of GenAI and data transformation? Our client is seeking a Data Management Lead to join their R&D team in Kolkata. The ideal candidate will have 10-15 years of experience in data management and will lead their efforts in developing and maintaining their data management related modules. Drive and deliver the design, development, and deployment of our data management and storage related modules in their product Oversee data architecture and data integration processes across modules. Enablement of real-time and batch ETL and ELT processes, ensuring data quality, performance and optimal usage of appropriate storage technologies. Ensure the platform’ data management and storage modules enable our customers to follow their data governance principles and best practices, including authorization, logging and data security. Ensure the platform has consistent and secure data access controls, data masking, and encryption processes. Establish and develop/integrate a central technical and business meta data layer leveraging modern, knowledge graph and AI based technologies Lead a team of developers to deliver above capabilities and features in a matrix environment Partner with product management to ensure alignment with market and customer trends. Partner with QA to deliver industry standard software quality Bachelor’s or master’s degree in computer science or a related field (BTech preferred). ~10-15 years of experience in data management, with at least 10 years in a similar role. ~ Proven experience leading teams and projects in data management. ~ Strong proficiency in big data technologies (e.g., Spark, Kafka), SQL, and data warehousing solutions. ~ Experience with ETL and ELT tools and processes. ~ Proficiency in data modelling and data warehouse / data lake / data Lakehouse concepts. ~ Knowledge and experience of data quality concepts and metadata management. ~ Understanding of data governance principles and best practices, like GDPR and HIPAA. ~ Good understanding of product lifecycle and roadmap planning ~ Experience with large product or services companies is preferred.

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