Product Data Analyst- Data Engineering
16 hours ago
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 domain
- Industry experience in agile development and DevOps Databases (ex. Oracle, AWS S3)
- Proficiency with data visualization tools such as Power BI, Shiny, or equivalent.
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