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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and maintenance of distributed data pipelines and analytics platform leveraging cloud and big data technologies.
Develop scalable, governed data products and assets that support analytics, AI/ML, GenAI, reporting, and APIs across multiple enterprise domains.
Collaborate with cross-functional teams including Product Managers, Data Scientists to deliver AI-ready datasets, ensure data quality, and optimize data architectures for performance and scalability.
Minimum Requirements
Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics, or equivalent experience.
Intermediate relevant experience in data engineering and development of enterprise data pipelines using modern cloud data platforms and ETL/ELT tools.
Strong hands-on skills in SQL development, data modeling, performance optimization, and scalable data architecture.
Work Experience Required: Intermediate experience in relevant discipline area (exact years not specified).
Ideal Candidate Profile
Experienced in Data-as-a-Product operating models including metadata management, data cataloging, lineage, and governance practices.
Familiar with Big Data and cloud technologies such as Spark, Scala/Java, Hadoop ecosystem, Kafka, and cloud-based compute implementations.
Comfortable working in Agile cross-functional teams delivering data solutions supporting AI/ML, GenAI, and advanced analytics use cases.