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Broad, common data engineering skillset in Bangalore at a known brand creates high competition.
Deep data engineering and streaming platform expertise transfers across industries, so background fit is medium.
Mandatory 12+ years and specific streaming, cloud, and data platform technologies make shortlisting highly strict.
Lead an individual track within the Supply Chain & Planning Data Domain to deliver end-to-end data solutions including design, development, testing, deployment, and support.
Architect and develop scalable batch and real-time data pipelines and products using event-driven and streaming technologies like Kafka, Google Pub/Sub, and Spark Streaming.
Provide technical leadership, collaborate globally including US timezone overlap, and implement modern software engineering practices such as Agile, CI/CD, and Infrastructure as Code.
12+ years of experience in Data Engineering, Data Warehousing, or related disciplines delivering large-scale data solutions.
Strong expertise in SQL, Python, and modern big data technologies such as Spark, Flink, Hive, and distributed data processing frameworks.
Experience designing and implementing event-driven architectures and streaming data pipelines (Kafka, Google Pub/Sub, Spark Streaming, etc.).
Work Experience Required: 12+ years; Location: Bengaluru, India; Work Hours: Must overlap with US time zones regularly for global collaboration.
Experienced technical leader with hands-on expertise in cloud-native data platforms and end-to-end data product delivery within Supply Chain and Planning domains.
Proficient in building robust, scalable, and cost-efficient data pipeline architectures leveraging real-time streaming and batch processing.
Comfortable working with globally distributed teams and strong partner management skills to translate business requirements into technical solutions.