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Senior Data Engineer
Futurae Technologies AG. Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining high-throughput data pipelines using Apache Beam and Dataflow, with a strong focus on optimizing data flows into BigQuery and Bigtable. Proficient in developing Python-based data APIs with FastAPI and ensuring the reliability and quality of data for critical decision-making.
Highest-signal resume keywords
Apache BeamDataflowBigQueryFastAPIPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData OptimizationAsynchronous ProgrammingAutomated TestingData Schema Design
Soft Skills
Clear CommunicationProblem Solving
Tools & Technologies
BigtablePoetryRuffPytest
Industry Keywords
Data Lifecycle ManagementStreaming DataBatch DataData Anomalies Investigation
Tech Stack
Tools & technologiesApacheBigQueryPySparkPython
About the role
Key responsibilities & impact- Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow
- Optimize data flows into BigQuery and Bigtable for speed and reliability
- Develop and maintain Python-based data APIs using FastAPI for internal services
- Improve data systems to make them faster, more reliable, and easier to use
- Investigate complex data anomalies and solve root causes
- Partner with ML/Product teams to build practical, usable data schemas
- Maintain production Python code using Poetry, Ruff, and pytest
- Ensure streaming and batch data move seamlessly from ingestion to storage
- Provide reliable, high-quality data for critical security decisions
- Progress from pipeline fixes and documentation updates to ownership of major fixes, updates, and key projects
Requirements
What you’ll need- 4+ years building, operating, and maintaining modern data pipelines
- Expert-level Apache Beam and Dataflow (PySpark is a plus) or similar tools
- Deep experience with BigQuery and Bigtable or similar tools
- Strong proficiency in FastAPI and asynchronous programming
- Comfort with linting and automated testing, such as Ruff and Pytest
- Production Python code using Poetry, Ruff, and pytest
- Ability to investigate complex data anomalies and identify root causes
- Ability to build practical, usable data schemas with ML/Product teams
- Full ownership of the data lifecycle
- Clear communication in a remote setting
Benefits
Comp & perks- Work with purpose and take ownership in an international team
- Grow with a company where your ideas matter
- Freedom to work remotely or at our Zurich HQ
- Join our yearly company-wide event
- Keep learning with a yearly education budget
- Joint co-working days for remote teammates