Senior Data Backend Engineer (Python / Databricks / Azure)
- Work model
- Office
- Experience
- 5+ years
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 14 tags
Technology context
14Parsed from the vacancy text; ordered by relevance to this role.
AI
Machine Learning
Azure
Python
Cloud
Backend
Scalability
Spark
Databricks
REST
CI/CD
Performance Optimization
SQL
GitFull listing
Role description
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