Director, Data Engineering

Walmart Walmart · Retail · Bangalore, KA, India

Director of Engineering for Global Data Foundations at Walmart Global Tech, leading a distributed team of data engineers to develop and maintain data products that support business growth and customer-centric initiatives. Focuses on scalable data platforms, shared modeling capabilities, and enterprise analytics.

What you'd actually do

  1. Driving the Data engineering charter, bring best practices, solve key enterprise problems for multiple markets
  2. Coordinate across retail value chain functional teams of data scientists, analysts, product managers, engineers, and business operators on value realization initiatives.
  3. Develop and leverage a consistent framework to identify and prioritize uses cases based on business value.
  4. Play a key role to solve complex data problems (business & operational), pivotal to Walmart's business and drive actionable insights.
  5. Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems.

Skills

Required

  • Data integration
  • Data platform solutions
  • Big Data technologies
  • Data/engineering operations
  • Data platforms
  • Data and reporting engines
  • Data modelling
  • Data warehousing
  • Data transformations
  • Pipelines for real time and batch processing
  • Leading distributed platform teams
  • Relational databases (Oracle / My SQL)
  • Non-relational databases (Cassandra, HBase)
  • Hadoop
  • Spark
  • End-to-end data products (DaaS)
  • Microservices architecture
  • DevOps
  • Distributed real time / micro batch computation systems
  • Data commercialization initiatives

Nice to have

  • research industry best practices

What the JD emphasized

  • 15+ years of experience in building data integration and platform solutions involving Big Data technologies.
  • A strong experience in driving data/engineering operations for end user applications.
  • A strong understanding of data platforms, data and reporting engines, data modelling and warehousing, and data transformations and pipelines for supporting real time and batch-oriented events processing.
  • Experience in leading large/medium distributed platform teams.
  • Experience with relational databases (Oracle / My SQL), non-relational databases (Cassandra, HBase) and Big data technologies like Hadoop, Spark
  • Experience in building end-to-end data products (DaaS) using latest technologies and architecture (like microservices architecture). This included good knowledge of DevOps.
  • Experience with distributed real time / micro batch computation systems such as Spark
  • Experience with leading data commercialization initiatives.