What you can look forward to as Product Data Analyst- Data Engineering :
- End-to-End Project Ownership : Drive and manage analytics initiatives from concept to deployment, ensuring high-quality, timely deliverables with minimal supervision.
- Engineering Best Practices : Apply structured software development principles, including version control (e.g., Git), CI / CD, automated testing, and peer code reviews to ensure robust, scalable, and maintainable solutions.
- Data Architecture & Pipelines : Design, build, and optimize scalable and reliable data models and pipelines in Databricks, Azure Cloud, and other big data environments to support advanced analytics and AI use cases.
- Data Modeling & Performance Optimization : Develop and maintain high-performance data models tailored for analytical workloads and business intelligence use.
- Business Partnership : Serve as a key liaison between technical teams and business stakeholders to understand needs, validate outcomes, and ensure solutions are actionable and business-ready.
- Data Visualization : Create insightful and user-centric dashboards using tools like Power BI, Shiny for Python / R, or similar platforms.
Your profile as Product Data Analyst- Data Engineering
8-10 years of experience in Data Engineering / Advanced analytics roles.Hands-on experience with Databricks, Azure, and familiarity with Big Data platforms (e.g., GCP, Cloudera).Prior experience with Data Bricks, Python, Pysprak, TecDoc or product data in the automotive domainIndustry experience in agile development and DevOps Databases (ex. Oracle, AWS S3)Proficiency with data visualization tools such as Power BI, Shiny, or equivalent.