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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable AWS data pipelines for Master Data Management (MDM) data with focus on Customer Master and Product Information Management (PIM) domains.
Implement end-to-end MDM data solutions including data ingestion, curation, governance, automated testing, and quality metrics in alignment with analytics strategy.
Collaborate with data governance and business stakeholders to support data quality, stewardship, lifecycle management, and deliver analytics-ready master data.
Minimum Requirements
6 to 10 years of experience in Big Data/data lake solutions on AWS cloud.
3+ years coding Spark using Python, Scala, or Java with hands-on pipeline development and optimization.
Bachelor's or Master's degree in Computer Science, Data Science, or related quantitative field (B.Tech/B.E/M.Tech/MCA) or equivalent experience.
Expertise with AWS services (Glue, EMR, S3, Athena, Redshift, Lambda), SQL proficiency, and experience with RDBMS (MS SQL, Oracle, Postgres).
Ideal Candidate Profile
Strong experience with MDM concepts, tooling (e.g., Reltio), and PIM solutions (e.g., Stibo) focusing on Customer and Product Master data domains.
Proven ability to work in Agile DevOps environments, collaborating with multi-disciplinary teams, grooming/prioritizing user stories, and delivering business solutions.
Experience in data governance, data quality, stewardship practices, and capability to manage metadata, cataloging, and lineage for enterprise data assets.