Back
Bengaluru-based data engineer role at a known global brand with a common title creates moderate competition among experienced candidates.
Requires deep data engineering plus retail/supply-chain domain experience, moderately limiting cross-industry transferability.
Explicit 12+ years requirement plus mandatory cloud, streaming, and data platform expertise makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead delivery of strategic data programmes within Supply Chain & Planning Data Domain, covering design, development, testing, deployment, and production support.
Architect and develop scalable batch and real-time data pipelines, data models, transformations, and data products using event-driven and streaming technologies such as Kafka, Google Pub/Sub, Spark Streaming.
Provide technical leadership, collaborate cross-functionally globally, and establish data quality, governance, and monitoring frameworks to ensure reliable, cost-efficient, and high-performance data solutions.
Minimum 12 years experience in Data Engineering, Data Warehousing, or related fields with large-scale data solution delivery.
Expertise in SQL, Python, and big data technologies like Spark, Flink, Hive; experience with event-driven architectures and streaming platforms (Kafka, Google Pub/Sub, Spark Streaming).
Experience with cloud platforms; Google Cloud Platform (GCP) experience preferred but not mandatory.
Flexible to collaborate with globally distributed teams including regular overlap with U.S. time zones.
Experienced data engineer with deep expertise in building and maintaining large-scale batch and real-time data pipelines and products in complex, cloud-native environments.
Proven ability to lead individual tracks and mentor junior engineers, driving engineering excellence and Agile best practices.
Comfortable working in global teams across multiple geographies with strong partner management and collaboration skills.