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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and scaling ETL/ELT pipelines, developing high-performance APIs with FastAPI, and utilizing DBT for data transformations. Proficient in SQL and modern data modeling, with a strong focus on data integrity and cloud-based warehousing architecture.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentFastAPI API DevelopmentDBT Data TransformationSQL MasteryCloud-Based Warehousing (GCP, BigQuery)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLETLELTDBTData ModelingData ValidationData CleansingAPI DevelopmentData Integration
Tools & Technologies
FastAPIDBTGCPBigQuery
Industry Keywords
Data EngineeringHigh-Growth EnvironmentsData IntegrityData EcosystemData StructuresData Schemas
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Build and scale robust ETL/ELT pipelines to integrate diverse data sources into a unified, high-availability ecosystem.
- Develop and maintain high-performance APIs using FastAPI to expose data insights to internal services and stakeholders.
- Lead data transformations by using DBT to ensure our warehouse is structured, modular, and ready for high-level analysis.
- Optimise data structures and schemas to ensure lightning-fast query performance for analytical and operational use cases.
- Automate data validation and cleansing processes to guarantee the highest standards of data integrity and security.
- Drive technical innovation by implementing modern frameworks that enhance our processing capabilities and data reliability.
Requirements
What you’ll need- Proven track record in Data Engineering or a similar back-end heavy role within high-growth environments.
- Advanced proficiency in Python, with specific experience building and deploying APIs using FastAPI.
- Deep expertise in DBT, with a focus on building scalable and maintainable transformation layers.
- Strong mastery of SQL for building complex data software and manipulating large datasets.
- Solid understanding of modern data modelling and cloud-based warehousing architecture (GCP and BigQuery preferred).
Benefits
Comp & perks- 25 Days of PTO
- 5% pension contribution
- € 3000 for Medical/Health coverage
- Self development budget of $ 500
