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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage a team of data engineers to design, build, and maintain scalable, high-performance data pipelines and platforms for enterprise analytics and reporting.
Translate data strategy and architecture into actionable projects, ensuring timely delivery aligned with data governance, security, and compliance standards.
Oversee team development, budget management, and continuous improvement initiatives including performance tuning, cost optimization, and adoption of AI/Co-pilot tools to enhance pipeline productivity.
Minimum Requirements
College/university degree or equivalent experience in relevant technical discipline.
Experience managing and transforming large data sets using scalable processing frameworks with hands-on skills in Java, Python, Spark, Hive, Kafka, SQL, or similar tools.
Experience implementing and supporting data pipelines in cloud or distributed compute environments.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Demonstrated ability to translate strategic data architecture into operational engineering plans in Agile or iterative environments.
Strong leadership in building inclusive, high-performing teams with experience in mentoring and capability development in data engineering.
Technical proficiency in modern data engineering practices including CI/CD, DevSecOps, infrastructure as code, and performance optimization for large-scale data systems.