Data Engineer (Python / Databricks / Azure)

Project Description:

• Development of a sales planning and analytics platform for a premium German OEM in the Asia region, enabling data-driven business decisions through scalable data processing,integration, and API-based data consumption.

Responsibilities:

• Design and develop scalable data processing solutions using Python and Databricks
• Build and maintain data pipelines for ingestion, transformation, and aggregation of business data
• Develop REST APIs using FastAPI to expose data and analytical services to consuming applications
• Design and optimize SQL queries and data models
• Collaborate with business analysts, data engineers, and product stakeholders to translate business requirements into technical solutions
• Deploy and maintain solutions on Microsoft Azure
• Drive best practices in performance optimization, monitoring, testing, and code quality
• Mentor junior engineers and contribute to architectural decisions

Mandatory Skills Description:

• 5+ years of software/data engineering experience
• Strong Python development experience
• Hands-on experience with Databricks
• Strong SQL and data modeling skills
• Experience developing APIs with FastAPI
• Experience with Azure cloud services
• Understanding of ETL/ELT concepts and data pipeline design
• Experience with Git and CI/CD pipelines

Nice-to-Have Skills Description:

• Experience with Azure Data Factory
• Experience with Azure Synapse Analytics
• Knowledge of Spark/PySpark
• Experience building data products for Sales, Marketing, or Business Planning
• Exposure to machine learning workflows