Job Description

Group Company: TVS Motor Company

Designation: Divisional Manager - Data Engineer (Div Mngr - Data Engr_D&AI; - Tech COE & Digital Manufacturing - Digital Manufacturing)

Office Location: Karnataka Koramangala (Territory)

Position description:

Cultivate a customer-centric, results-driven data engineering organization

Partner with internal teams and external vendors to ingest, store and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc

Operate as a thought leader with the ability to guide, influence, and inspire peak performance across the data architecture design and ETL functions

Lead large-scale integration and replat forming efforts with digital manufacturing, SAP S/4 HANA, IoT systems etc to enhance the data and develop consolidated platforms.

Collaborate with Business leaders, Data Science, IT and Digital App Development teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation and personalization initiatives

Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning, and data model designs with a focus on delivering actionable insights

Work strategically to align data assets, storage, and computation/query layers to support long-term data platform goals, help define data models, publish metadata, guide best practice ETL standards

Make sound architectural decisions across relational, multi-dimensional, distributed and object-based storage platforms

Mentor engineers and participate in code reviews

Execute proof of concepts to assess strategic opportunities and future, next-generation data processing and integration capabilities with a focus on recommending scalable, elastic and extensible solutions that yield positive ROI

Primary Responsibilities:

• Proven ability to lead and mentor a highly technical engineering team while also demonstrating the ability to discuss, understand and synthesize solutions for the business needs and data management
• Ability to collaborate with business unit leadership as well as individual members of the team with strong empathy, and ability to creatively problem solve
• More than 15 years of experience in data engineering and data management
• 4-6 years of experience with distributed data frameworks, Hadoop and related architectures (Hive, Spark, Presto, EMR)
• Hands-on experience with AZURE ecosystem (Databricks, Data factory, HDInsight, Event Hubs, AKS, Azure DevOps etc.) and SAP HANA and SAP BI .
• Exposure to modern development approaches (containerization, microservices, CI/CD)
• Hands-on experience with relational database platforms (SAP HANA , SQL Server, Mongo , MySQL)

• Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc), and SAP SLT
• Solid understanding of SOA design and implementation
• Exceptional analytical, quantitative, problem-solving, and critical thinking skills
• Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities
• Experience in delivering solutions in automobile industries
• Exposure to graph processing frameworks (Neo-4j, Neptune, DGraph)

• Category: Bachelor's Degree, Master's Degree

• Field specialization: Computer and information Sciences and Support services, Computer Engineering, Computer Programming, Specific applications, Computer Science, Computer Software engineering, Computer Systems Networking and Telecommunication, Information Technology, Information Communication and Technology, Information Technology with Interactive Multimedia Design and Animation

• Degree: Bachelor of Engineering - BE, Master of Business Administration - MBA