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Tier-1 brand and Bangalore metro increase candidate density, but seniority and specialized data skills narrow it.
Role requires deep data engineering platform and management experience, limiting cross-industry transferability.
Explicit 10-year minimum, 4+ years managing, and mandatory cloud/Databricks/Spark skills raise shortlisting strictness.
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Lead and build a team of data engineers, focusing on hiring, mentoring, and career development.
Own delivery of large, complex data engineering projects involving multiple stakeholders and streams.
Drive data strategy, improve data quality and reliability, and innovate scalable analytical data products and platforms.
Bachelor's or Master's degree in Computer Science or related field.
6-8 years experience as an individual contributor in Data Engineering or related software engineering.
4+ years managing data or related software engineering teams.
Experience with large-scale, high-performance batch and streaming data systems and public cloud platforms like AWS, DynamoDB, Databricks, Spark.
Experienced leader in managing agile data engineering teams with proven people management and talent development skills.
Strong technical background able to guide complex, multi-team project deliveries and participate in architectural decisions.
Hands-on experience with streaming data pipelines, cloud-based data engineering tools, and driving operational excellence.