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Tier-1 brand, metro role, mid-senior generalist data engineering skills cause high candidate competition.
Role requires deep data engineering, warehousing and Hadoop/cloud expertise, limiting cross-industry transferability.
Multiple mandatory technical skills, cloud and data platform experience, and leadership requirements make filters highly strict.
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Own and manage the design, build, and maintenance of data architectures including pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Lead large-scale data engineering delivery efforts including resource planning, policy management, and cross-functional stakeholder collaboration to drive transformation and modernization programs.
Set strategy and provide expert guidance for technical direction, risk management, and governance across data engineering projects, influencing executive and business leadership.
Strong hands-on experience with Oracle Database, SQL query writing, optimization, and performance tuning.
Extensive experience with Hive, Hadoop ecosystem, and large-scale data processing technologies.
Cloud data engineering expertise, particularly with AWS services such as Athena, S3, Glue, Lambda; Cloud certification (AWS/Azure/Google/Oracle) is a plus.
Work Experience Required: Not explicitly mentioned in the JD; Role is based in Chennai office, implying location requirement.
Experienced leader capable of managing large-scale transformation and modernization in data engineering with strong stakeholder management across executive, business, and technical teams.
Technical expert with ability to lead multi-year assignments, coach teams, and provide strategic guidance on complex data systems and innovation.
Demonstrated expertise in enterprise-scale regulatory, finance, risk, or analytics platforms with strong communication, presentation, and influencing skills.