Lead Data Engineer

TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavours to deliver the most superior customer experience across 80 countries in which we operate.

For more information, please visit www.tvsmotor.com.

Job Title / Role: Lead Data Engineer

Digital and AI is a key function at TVS Motor which is leading digital transformation infused with AI across TVS Motor and group companies globally. We are creating and enhancing digital native experiences for our customers, partners and colleagues leveraging the best of technologies and algorithms to differentiate and personalize user experience thereby earning the right to be in their daily life and creating a competitive differentiation in the marketplace. Agile, open source, DevSecOps, distributed cloud, pubsub messaging, data scalability, extended reality, Internet of things, MACH architecture, Total experience, sustainable technology, responsible AI and several others are not buzzwords but business archetypes we work with every day! Do you want to engage and lead digital and AI transformation in global mobility? Look us up!

Location: Bangalore (Electronic phase -I)

Education Qualification: BE/B.Tech/BS/MS/PhD in Computer Science, Information Technology, or a related field.

Required Experience: More than 10+ years of experience in data engineering and data management

Our Data engineering team is responsible for the data architecture, warehousing and data processing pipelines that power various web & mobile applications, our data-science products and services, and feed our machine learning APIs.

The purpose of the role is to lead the design, development, and optimization of data platforms, pipelines, and architectures that drive TVS Motors adjacent mobility digital initiatives. This role focuses on enabling data-driven decision-making and operational efficiencies through robust data engineering practices while aligning with the organizations long-term digital and analytical strategy.

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 requirements of other organizational units

Hands-on experience in designing and managing data lakes, data warehouses and downstream marts

Hands-on experience with AZURE ecosystem (Databricks, Data factory, HDInsight, Event Hubs, AKS, Azure DevOps etc.)

Exposure to modern development approaches (containerization, microservices, CI/CD)

Hands-on experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL)

Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc)

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

Masters/Bachelors degree or equivalent experience in Computer Science, Information Science disciplines, or comparable STEM related degree

Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps)

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

Lead large-scale integration and replatforming efforts with Customer facing digital assets, distribution channel platforms and websites both internally and externally to enhance the data

Collaborate with Business leaders, Data Science, Infra 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

Expertise in designing and managing data lakes, warehouses, and downstream marts.

Proficiency in modern data engineering tools like Azure Databricks, Data Factory, Kafka, and Airflow.

Strong understanding of real-time and batch data processing frameworks with advanced ETL standards.

Hands-on experience with relational databases (Oracle, Postgres) and containerization (Docker, Kubernetes).

Leadership and Mentorship: Ability to guide and inspire high-performing technical teams.

Collaboration: Strong cross-functional teamwork with data science, digital, and business units.

Problem-Solving: Exceptional analytical skills for troubleshooting and optimizing data systems.

Adaptability: Agile in managing multiple priorities in a fast-paced, dynamic environment.