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Head of Data Engineering

TVS Motor Company
Location: Experience: 16 years - 25 years
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)
  • 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)
  • 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)

Industry

Any

Gender Preference:

Female

Job Type:

Full Time

Diversity Tags:

Not Applicable