Business Analyst III

Overview

As a Product Owner, you’ll strengthen data engineering capabilities by owning and guiding an Enterprise Data Platform (EDP) product backlog and delivery.

What you'll do

• Own and prioritize the data engineering product backlog based on business value, risk, dependencies, and feasibility.
• Define product objectives, roadmap, milestones, acceptance criteria, and measures of success.
• Translate business requirements and data-quality rules into user stories, technical requirements, data rules, and acceptance criteria.
• Perform hands-on SQL analysis to investigate data-quality issues and validate engineering outputs.
• Collaborate with data engineers on pipelines, curated datasets, data-quality solutions, and analytical data products.
• Coordinate stakeholder workshops, backlog refinement, sprint planning, demos, issue resolution, and updates.
• Establish data-quality validation rules, exception-management processes, and remediation workflows.

What you'll need

• Strong SQL skills including joins, CTEs, aggregations, window functions, reconciliation, and data-quality analysis.
• Understanding of ETL/ELT, data pipelines, transformations, data models, and data quality frameworks.
• Databricks environment familiarity and ability to understand PySpark notebooks/code.
• Product Owner/Agile experience managing backlogs, writing user stories and acceptance criteria, and prioritizing requirements.
• Ability to communicate across technical and business teams to translate between business and technical terminology.

Details

• Job location: Bangalore, India.
• Work schedule: Standard (Mon-Fri).