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Tier-1 employer and visible managerial data role attract applicants, though technical specialization reduces applicant volume.
Core data engineering and leadership skills are broadly transferable across industries.
Mandates specific data engineering tech, cloud use, and managerial ownership, enforcing strict technical and leadership filters.
Lead and manage a team of data engineers to design, build, and maintain scalable data pipelines and infrastructure supporting enterprise analytics and reporting.
Translate data strategy and architecture into actionable engineering plans, ensuring timely, high-quality delivery and adherence to data governance and compliance standards.
Oversee team performance optimization, mentoring, budgeting, and stakeholder collaboration to enable secure, scalable, and performant data solutions.
Degree or equivalent experience in a relevant technical discipline.
Experience analyzing business systems, data flows, and requirements to design and implement effective data solutions.
Hands-on experience with Java, Python, Spark, Hive, Kafka, SQL, and cloud or distributed data pipeline environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced managing and transforming large data sets using scalable processing frameworks and modern data engineering tools.
Proficient in applying data governance, security, compliance principles, and modern development practices like Agile, DevSecOps, CI/CD.
Capable of driving strategic data engineering initiatives with strong ability to mentor a team and manage projects within complex enterprise environments.