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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and Bangalore increase applicants, but seniority and specialized big-data skills moderate competition.
Core big-data engineering skills transfer across industries, though supply-chain domain knowledge increases specialization.
Mandatory 10+ years and specific big-data, GCP, Spark stack create a high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own and architect large-scale, distributed big data systems focusing on scalability, efficiency, and fault-tolerance within Walmart's supply chain and forecasting data engineering team.
Drive technical roadmap execution for multi-tenant, scalable solutions that transform raw data into actionable insights for business impact and cost savings.
Lead collaboration with engineers, product managers, and stakeholders to define and deliver high-performance platforms supporting Walmart’s data ecosystem including Hadoop, Spark, and GCP.
Minimum Requirements
Bachelor's degree (B.Tech/B.E.) or higher in Computer Science or related field (M.Tech/M.S. preferred).
10+ years experience in design and development of scalable applications and distributed systems, preferably in product-based companies or R&D.
Proficiency with Spark, Java, Python, Hadoop, HDFS, GCP, BigQuery, SQL, Hive, and big data technologies (including experience with containerization like Docker/Kubernetes and orchestration frameworks).
Work Experience Required: Minimum 10+ years in related software engineering roles; Location: Bangalore or Chennai office (daily work with flexibility).
Ideal Candidate Profile
Experienced leader capable of defining architectural vision and influencing cross-functional technical teams in complex data platform environments.
Strong expertise in building scalable, multi-tenant big data platforms with demonstrated impact on business metrics and operational excellence.
Comfortable operating in dynamic, experimental environments with evolving requirements and startup-like agility within a large enterprise context.