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Global brand, Bengaluru metro, and popular Data Engineer title drive high candidate density.
Core data engineering skills are transferable, but retail supply-chain domain and platform leadership increase specificity.
Explicit 12+ years, specific streaming/cloud/platform skills and leadership make screening strict.
Lead an individual delivery track within the Supply Chain & Planning Data Domain focused on data pipelines, models, and data products from design through production support.
Architect and develop scalable batch and real-time event-driven data pipelines and streaming solutions using technologies like Kafka, Google Pub/Sub, and Spark Streaming to meet enterprise data needs.
Provide technical leadership, enforce data quality and governance frameworks, troubleshoot, and mentor junior engineers while collaborating with global teams including Data Scientists and Architects.
At least 12 years of experience in Data Engineering, Data Warehousing, or related disciplines with large-scale data solution delivery.
Proficiency in SQL, Python, and experience with big data technologies like Spark, Flink, Hive, and event-driven systems such as Kafka or Google Pub/Sub.
Experience working on cloud platforms; Google Cloud Platform (GCP) experience is preferred.
Flexible to work with globally distributed teams including regular overlap with U.S. business hours.
Experienced technical leader who can architect and deliver complex, scalable, real-time and batch data solutions in retail supply chain environments.
Proficient in modern data platform engineering practices including CI/CD, Infrastructure as Code, automation, and DevOps.
Comfortable collaborating across geographies and disciplines, managing stakeholder expectations and providing mentorship to elevate engineering practices.