Associate Divisional Manager - Data Engineering

TVS Motor Company; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

TVS Motor Company is seeking an Associate Divisional Manager - Data Engineering to lead and mentor a skilled data engineering team in Bengaluru. You will collaborate with business leaders, IT, and digital teams to deploy machine learning initiatives and design scalable data platforms, including data lakes, warehouses and data marts.

The role covers large-scale SAP S/4 HANA integrations, IoT and digital manufacturing projects, with emphasis on ROI and scalable architecture.

Qualifications

• BE and MBA (or equivalent) are required.
• 8–12 years of data engineering/leadership experience.
• Experience with SAP S/4 HANA, IoT and digital manufacturing is preferred.

Responsibilities

• Lead and mentor a data engineering team, fostering collaboration and technical excellence.
• Collaborate with business leaders, data science, IT and digital teams to implement machine learning algorithms and drive data-driven initiatives.
• Design and manage scalable data platforms, including enterprise data lakes, warehouses, and data marts.
• Lead large-scale integration and replatforming projects involving SAP S/4 HANA, Digital manufacturing, and IoT systems.
• Develop and optimize data models, perform query tuning, and enhance data mart performance to deliver actionable business insights.
• Make strategic architectural decisions across distributed, relational, and multi-dimensional storage platforms.
• Oversee data ingestion, storage and enrichment processes, ensuring seamless data flow across the organization.
• Utilize and manage distributed data frameworks such as Hadoop, Spark, Hive, Presto, and EMR.
• Leverage Azure cloud services (Databricks, Data Factory, HD Insight, Event Hubs, AKS, Azure DevOps) and SAP BI tools effectively.
• Implement modern development practices including containerization, microservices, and CI/CD pipelines.
• Manage real-time and batch data processing frameworks such as Kafka, Airflow, Luigi, and SAP SLT.
• Drive innovation through proofs of concepts for next-generation data processing and integration solutions, focusing on scalability and ROI.

Skills

Python

Flask

HTML

CSS

PHP

Java

.NET

JavaScript

C#

Education

BE

MBA

Tools

MS SQL

Jenkins

Kibana

Hadoop

Spark

Hive

Presto

EMR

Azure Databricks

Azure Data Factory

Sitecore

Acquia/Drupal

Liferay

SAP S/4 HANA

Job description

Job Description

Associate Divisional Manager - Data Engineering Karnataka, Bangalore, Karnataka, India 8 - 12 Years White Collar

AboutTVS / Who are we?

TVS Motor Company is a reputed two andthree-wheeler manufacturer globally, championing progress through SustainableMobility with four state-of-the-art manufacturing facilities in Hosur, Mysuruand Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacyof Trust, Value, and Passion for Customers and Exactness, we take pride inmaking internationally aspirational products of the highest quality throughinnovative and sustainable processes. We are the only two-wheeler company tohave received the prestigious Deming Prize. Our products lead in theirrespective categories in the J.D. Power IQS and APEAL surveys. We have beenranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Surveyfor consecutive four years. Our group company Norton Motorcycles, based in theUnited Kingdom, is one of the most emotive motorcycle brands in the world. Oursubsidiaries 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 experienceacross 80 countries in which we operate.

Job Title / Role

Associate Divisional Manager- Data Engineering

Education Qualification

' - 'Bachelor ofEngineering - BE, Master of Business Administration - MBA

Experience

Job Purpose

• ' - Lead and mentor a highly skilled data engineering team,fostering collaboration and technical excellence
• - Collaborate closely with business leaders, data science,IT and digital teams to implement machine learning algorithms and drive datadriven initiatives
• - Design and manage scalable data platforms, includingenterprise data lakes, warehouse, and data marts
• - Lead large-scale integration and replatforming projectsinvolving SAP S/4 HANA, Digital manufacturing, and IoT systems
• - Develop and optimize data models, perform query tuning,and enhance data mart performance to deliver actionable business insights
• - Make strategic architectural decisions across distributed,relational, and multi-dimensional storage platforms
• - Oversee data ingestion, storage and enrichment processes,ensuring seamless data flow across the organization
• - Utilize and manage distributed data frameworks such asHadoop, spark, Hive, Presto, and EMR
• - Leverage Azure cloud services (Databricks, Data Factory,HD Insight, Event Hubs, AKS,Azure DevOps) and SAP BI tools effectively
• - Implement modern development practicesincludingcontainerization, microservices, and CI/CD pipelines
• - Manage real-time and batch data processing frameworks suchas Kafka, Airflow, Luigi, and SAP SLT
• - Drive innovation through proofs of concept for nextgeneration data processing and integration solutions, focusing on scalabilityand ROI

RoleDescription

• ' - Develop technical solutions byy undersatanding businessrequirements and proposing effective approaches
• - Collaborate with technical teams to ensure smooth deliveryof digital solutions
• - Work within Agile, Scrum, and Kanban methodologies,supporting DevOps and Scrum Master roles as needed
• - Manage multiple concurrent projects throughout thesoftware development lifecycle
• - Work wit content Management Systems such as Sitecore,Acquia/Drupal, and Liferay
• - DEsign and implement object-oriented solutions followingbest practices and design patterns
• - Utilize Azure cloud platform and MS SQL databases forapplication development
• - Use tools like UML design, CI/CD pipelines (Jenkins),monitoring (Kibana), and log management
• - Debug applications and services efficiently to maintainhigh-quality output
• - Review code and project deliverables to maintaincompliance with industry standards
• - Apply responsive and adaptive design principles for UIdevelopment
• - Stay updated with industry trends and contribute toenterprise solution architecture including data and information design

Key Skills

• ' - Proficiency in Python, Flask, HTML, CSS, PHP, Java, NET, JS, C#
• - Expertise in object-oriented design, design patterns, and algorithms
• - Experience with database technologies such as MS SQL
• - Knowledge of SOA design and implementation
• - Experience with DevOps and automated testing tools
• - Good debugging and problem-solving skills
• - Familiarity with UI/UX design practices and responsive webdesign
• - Proficient with Git-based version control systems