Senior Data Platform & Analytics Engineer
ZF Friedrichshafen AG (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted 2d ago
Reach people at ZF Friedrichshafen AG
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at ZF Friedrichshafen AG you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and evolve data architectures, pipelines, and data models balancing business needs, reliability, complexity, and cost.
- Build and operate data integration and transformation processes including incremental loading, schema changes, and safe reprocessing.
- Own operational quality of data solutions including monitoring, incident resolution, data quality, performance, cost, and implement security/governance in collaboration with data owners and IT.
Minimum Requirements
- Bachelor’s or Master’s degree.
- 5+ years of relevant data engineering experience with strong hands-on expertise, preferably in Databricks.
- Strong skills in SQL and Python with experience designing, delivering, and operating production data pipelines and models.
- Experience with automated testing, CI/CD, monitoring, and troubleshooting production data failures.
Ideal Candidate Profile
- Experienced in distributed processing, storage patterns, orchestration, and understanding architectural trade-offs.
- Proven ability to translate complex business requirements into technical and analytical data solutions.
- Hands-on with technologies that improve data engineering quality, reliability, and efficiency in a production environment.