
Data Engineer
- Polska
- Stała
- Pełny etat
- Design, develop, and maintain robust and scalable data pipelines to support business needs.
- Code BigQuery procedures, functions, and other database objects by applying expert knowledge in BigQuery SQL.
- Optimize ETL processes and data workflows to ensure efficiency, performance and high scalability.
- Implement and manage data integration solutions using tools like DBT, Apache Airflow, Fivetran, Python, Celigo.
- Design an ETL framework that leverages reusable components and automated data quality checks.
- Develop and implement features and enhancements in BigQuery, levering your expertise in SQL and cloud-based data warehousing technologies.
- Ensure data quality and consistency through rigorous testing and validation processes.
- Troubleshoot and resolve data-related issues promptly.
- Stay updated with industry trends and technologies to continuously improve our data engineering practices.
- 4+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development.
- Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google’s BigQuery.
- Proficiency in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar.
- Experience in Git for version control and DBT for data transformation.
- Proven experience in designing, building and maintaining ETL processes, automated data quality checks and reusable ETL components.
- Knowledge of Data Lake and Data Warehousing concepts and Data Modelling techniques.
- Strong problem-solving skills and the ability to work independently as well as collaboratively.
- Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
- Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.