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Kompaniyadagi ish o‘rinlari

Group Director, Software Engineering – Data Services, Walmart Bangalore

Lead Walmart’s Bangalore Data Services organization across Big Data, data lakes, warehousing, analytics, and GenAI platforms. Scale engineering strategy, infrastructure, and teams supporting next-generation data applications.

INHindistonOfisdaTo‘liq stavkaYetakchiTalab Qilinadigan Til: inglizchaDasturiy ta’minot muhandisiFull-stack muhandisi
AzureBigQueryHadoopSpark

Tavsif

  • Own Walmart’s Big Data, Analytics Data Services, and Data Warehousing functions
  • Lead the Bangalore Data Services team responsible for Big Data, analytics, and data warehousing services
  • Define and scale platforms that support Walmart’s data lake, warehouse, and analytics capabilities
  • Set the long-term engineering direction and platform strategy for Big Data processing
  • Advance GenAI-native products, engineering excellence, data integration, measurement infrastructure, and closed-loop system design
  • Build and operate exabyte-scale data lake infrastructure across Google Cloud, Azure, and private clouds
  • Optimize BigQuery, Trino, and other data warehousing services
  • Direct large-scale projects and complex programs, including solutions, contingency planning, budgets, and expenditures
  • Create strategies to attract, retain, and develop engineering talent through mentorship, career development, and succession planning
  • Establish operating metrics covering availability, infrastructure cost, utilization, and security
  • Create multi-year plans for performance, profit and loss, customer experience, LRP planning, and budgeting
  • Lead learning and training programs
  • Uphold integrity, ethics, compliance, and support for the Open Door Policy
  • Strengthen stakeholder relationships, contribute to community outreach, and deliver business solutions
  • Identify and reduce operational risks to protect business continuity and maintain consistent quality

Talablar

  • Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or a related field plus 8 years of software engineering or related experience; alternatively, 10 years of software engineering or related experience
  • At least 5 years of supervisory experience
  • Experience deploying and operating data lake technologies at scale, including Spark, Hadoop, Iceberg, Hudi, Hive, and Ranger
  • Experience running large-scale services with high availability and cost efficiency
  • Ability to build strong engineering teams with Big Data expertise
  • Ability to lead complex OKRs and programs
  • Ability to reduce costs through infrastructure and application performance tuning
  • Ability to develop long-term Big Data strategies for next-generation AI-driven applications
  • Ability to mentor and develop engineering teams

Imtiyozlar

  • Performance-based incentive awards
  • Maternity and parental leave
  • Paid time off
  • Health benefits
  • Flexible work arrangements to help manage personal commitments

O‘xshash ish o‘rinlari