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Tier-1 brand, Bengaluru metro, popular data-engineer title, and broad senior skill requirements increase competition.
Distributed data engineering skills are transferable, but BizTech compliance domain nuances raise sensitivity to medium.
Explicit 9+ years requirement plus mandatory distributed data platform and language expertise makes shortlisting highly strict.
Lead design, implementation, testing, and maintenance of scalable batch and real-time data systems for BizTech business functions.
Drive long-term data engineering strategies and best practices including data quality, governance, and system reliability across the organization.
Collaborate cross-functionally with product managers, data scientists, and engineers to ensure seamless data integration and support data-driven decisions.
9+ years of relevant experience with a Bachelor’s/Master’s in CS/EE, or 6+ years with a PhD.
Proficiency in Java, Scala, or Python with strong skills in data processing and SQL querying.
Experience designing and operating distributed data platforms at large scale (e.g., Spark, Kafka, Flink).
Work Experience Required: 9+ years explicit in description.
Technically hands-on leader skilled in building and optimizing both batch and real-time data pipelines within large distributed systems.
Experience leading cross-functional collaboration among product, data science, and engineering teams to align on data solutions.
Demonstrated ability to influence data engineering strategy, mentor teams, and drive adoption of best practices focused on data quality and governance.