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Senior specialized data engineering role in Bangalore with niche streaming skills produces medium competition.
Deep data engineering, streaming, cloud, and retail supply-chain domain skills limit cross-industry transferability.
Explicit 12+ years plus mandatory streaming, cloud, and platform skills create high shortlisting strictness.
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Lead an individual track within the Supply Chain & Planning Data Domain, responsible for end-to-end delivery from requirements to production support.
Architect and develop scalable batch and real-time data pipelines, models, and data products using event-driven and streaming data technologies (e.g., Kafka, Google Pub/Sub, Spark Streaming).
Collaborate globally with cross-functional teams and provide technical leadership and mentorship to ensure high-quality, reliable, and cost-efficient data solutions.
12+ years of experience in Data Engineering, Data Warehousing, or related fields with large-scale data solution delivery.
Proficient with SQL and Python for large-scale data processing and transformation.
Experience with event-driven architectures and real-time data processing technologies such as Kafka, Google Pub/Sub, Spark Streaming, or similar.
Flexible to work overlapping US time zones for global collaboration; Location requirement: Bengaluru, India.
Expertise in designing and implementing scalable data platforms and pipelines in cloud environments, preferably with Google Cloud Platform experience.
Experience with modern big data tools (Spark, Hive, Flink), data transformation frameworks (dbt, PySpark, Dataflow), and CI/CD/DevOps practices.
Proven technical leadership skills including mentoring engineers and driving engineering excellence in a globally distributed team.