Senior Data Backend 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

SKILLS

Must have

• - 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

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