Data Management Team Lead

10 - 15 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Management Lead at our client's R&D team in Kolkata, you will have the opportunity to play a crucial role in developing and maintaining data management related modules. With your 10-15 years of experience in data management, you will drive the design, development, and deployment of cutting-edge products at the intersection of GenAI and data transformation. Your responsibilities will include: - Driving the design, development, and deployment of data management and storage related modules in the product. - Overseeing data architecture and integration processes across modules. - Enabling real-time and batch ETL and ELT processes to ensure data quality, performance, and optimal usage of storage technologies. - Ensuring that the platform's data management and storage modules align with data governance principles and best practices. - Implementing consistent and secure data access controls, data masking, and encryption processes. - Establishing a central technical and business meta data layer using modern technologies. - Leading a team of developers in a matrix environment to deliver above capabilities. - Collaborating with product management to stay aligned with market and customer trends. - Working with QA to ensure industry-standard software quality. Qualifications required for this role include: - 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 in 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 modeling and concepts related to data warehouse, data lake, and data Lakehouse. - Knowledge of data quality concepts and metadata management. - Understanding of data governance principles and best practices such as GDPR and HIPAA. - Good comprehension of product lifecycle and roadmap planning. - Experience with large product or services companies is preferred.,

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