Data Platform Engineer
3 dni temu
Łódź, Województwo łódzkie, Polska
AtlantisJobs
Zdalnie
Pełny etat
110 000 zł - 160 000 zł Umowa
Bezpłatnie za pośrednictwem poczty elektronicznej lub Google
Zapisz tę ofertę pracy i uporządkuj wyszukiwanie
Utwórz bezpłatne konto, aby zapisywać oferty pracy, tworzyć alerty i wracać do tego ogłoszenia ze swojego pulpitu nawigacyjnego.
Bezpłatnie za pośrednictwem poczty elektronicznej lub Google
Kontynuując, akceptujesz nasze Warunki & Politykę prywatności.
O projekcie:What will you do?As a Data Engineer, you will design and develop modern data platforms and data products in cloud and on-premise environments. You will work closely with business and technical teams to build scalable data solutions, onboard new data sources, and optimize data processing pipelines that support analytics and reporting across the organization.
Wymagania:
- 3+ years of commercial experience as a Data Engineer
- Strong knowledge of SQL and Python
- Experience with data modelling
- Understanding of Data Warehousing, Data Lakes and Data Lakehouse concepts
- Hands-on experience with GCP data engineering tools
- Very good knowledge of BigQuery
- Experience with DBT, Airflow and Trino
- Understanding of CI/CD practicesNice to have
- Experience with Spark/PySpark
- Experience with BI tools such as Power BI, Qlik or Apache Superset
- Experience with Snowflake
- Experience with DatabricksCodzienne
zadania:
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop ETL processes and data pipelines
- Optimize data views and structures for reporting and visualization use cases
- Review, refine and implement business and technical requirements
- Collaborate with teams on backlog refinement, user stories and epics in Jira
- Onboard new data sources and develop ingestion, warehousing and data products
Wymagania:
- 3+ years of commercial experience as a Data Engineer
- Strong knowledge of SQL and Python
- Experience with data modelling
- Understanding of Data Warehousing, Data Lakes and Data Lakehouse concepts
- Hands-on experience with GCP data engineering tools
- Very good knowledge of BigQuery
- Experience with DBT, Airflow and Trino
- Understanding of CI/CD practicesNice to have
- Experience with Spark/PySpark
- Experience with BI tools such as Power BI, Qlik or Apache Superset
- Experience with Snowflake
- Experience with DatabricksCodzienne
zadania:
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop ETL processes and data pipelines
- Optimize data views and structures for reporting and visualization use cases
- Review, refine and implement business and technical requirements
- Collaborate with teams on backlog refinement, user stories and epics in Jira
- Onboard new data sources and develop ingestion, warehousing and data products