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Tier-1 employer, generic mid-level product/BA title, and Bangalore metro make applicant competition high.
Role demands data engineering and supply-chain/ERP domain knowledge, limiting transferability across industries.
Requires strong SQL, Databricks/PySpark familiarity and product ownership skills, but no explicit years requirement.
Own and prioritize the Data Engineering product backlog, defining roadmap, milestones, and success metrics for Enterprise Data Platform deliverables.
Translate business requirements into detailed user stories, technical requirements, and data-quality rules for Data Engineers to build and validate pipelines.
Act as primary liaison between business stakeholders and technical teams managing requirement workshops, sprint planning, and ensuring delivered datasets meet acceptance criteria and business outcomes.
Strong SQL skills including joins, CTEs, aggregations, window functions, and reconciliation for data-quality analysis.
Solid understanding of data engineering concepts including ETL/ELT, data pipelines, data transformations, data models, and data-quality frameworks.
Experience with Databricks and PySpark environment and ability to collaborate on transformation logic with Data Engineers.
Product Owner or Agile experience managing backlogs, writing user stories, prioritizing requirements, and working in Agile delivery models.
Experienced in bridging technical and business teams, especially working across Supply Chain and Finance stakeholders to align data engineering priorities to measurable business outcomes.
Comfortable performing hands-on data analysis and validation using SQL and collaborating closely with Data Engineers on pipeline design and data-quality controls.
Skilled in managing cross-functional communication including facilitating workshops, sprint planning, and translating technical concepts to business-friendly language.