Posted On: 10-Jun-2021 | Last Date to Apply: 10-Jul-2021 | No: of Vacancies : 1 | CTC: 0 to 0 Lacs
Company Profile:
TVS Motor Company is the third largest wheeler company in India with a revenue of over ? crore over USD 9 billion
We have an annual sale of more than three million units and an annual capacity of over nine million vehicles
TVS Motor is also the second largest exporter in India with exports to over sixty countries
A member of the TVS Group it is the largest company of the group in terms of size and turnover
Job description:
Your responsibilities
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 replatforming efforts with CRM and Customer Engagement Platform (CEP) systems – both internally and externally – to enhance the data and marketing platform infrastructure
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
Your qualifications
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
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 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)
Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc)
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
Masters/Bachelor’s 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)
Exposure to graph processing frameworks (Neo-4j, Neptune, DGraph)
