Data Engineer
Skills
SQLData EngineeringData ProcessingGoogle BigqueryGoogle Cloud PlatformSupply Chain ManagementApache Airflow
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Engineering Information Systems or related field or equivalent practical experience
- 4+ years of experience in Data Engineering
- Hands-on experience developing data solutions on Google Cloud Platform (GCP)
- Strong experience with Dataproc
- Strong experience with BigQuery
- Strong experience with SQL
- Strong experience with dbt
- Strong knowledge of data modeling techniques including dimensional modeling and analytical data warehouse concepts
- Experience building scalable ETL ELT pipelines and processing large datasets
- Familiarity with Git-based version control and CI/CD
- Strong analytical troubleshooting and problem-solving skills
- Excellent communication and collaboration skills
Nice to have
- Problem-solving
- Analytical mindset
- Independent worker
- Team collaborator
- High quality focus
- Eagerness to learn
- Customer-focused
Day to day
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP).
- Build and optimize cloud-native data solutions using Dataproc, BigQuery, SQL, and dbt to support analytics and AI initiatives.
- Collaborate with product managers, architects, analysts, and engineers to transform enterprise data into trusted, high-quality data assets.
- Ingest, validate, and publish data from multiple source systems while improving performance, reliability, and cost efficiency.
- Create reusable data transformations, perform testing and production support, and document technical designs and data flows.