Data Engineer (Databricks, Azure)

120 - 180 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WrocławFull-time·B2B

#473839·Dodano wczoraj·2

Źródło: justjoin.it

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Tech Stack / Keywords

PySpark AzureOCRDatabricks SQL PythonData ScienceTerraform

Podsumowanie oferty

As a Data Engineer, you will build and maintain data pipelines and develop data architectures and ETL processes for projects across various domains and industries. You will work with Databricks and Azure, collaborating with data scientists, analysts, and engineering teams.

Wymagania

Commercial experience with Databricks.
Commercial experience with Azure cloud and services, such as Azure Data Factory, Data Lake, SQL Database, and Azure Databricks.
Commercial experience with Python and PySpark.
Commercial experience with SQL.
Knowledge of Data Engineering concepts such as ETL, data modeling, medallion architecture, data warehousing, and data governance.
Commercial experience with Terraform.
English at least B2.

Nice to have:

Docker and Kubernetes.
Knowledge of OCR and corresponding libraries, such as easyOCR.
Experience in the data science area.

Obowiązki

Design, build, and maintain scalable, efficient, and reliable data pipelines.
Develop data architectures and ETL processes end to end.
Collaborate with data scientists, analysts, and engineering teams to ensure effective data integration and optimization.
Apply best engineering practices across data solutions.
Optimize data workflows and ensure the reliability and performance of data systems.
For Senior level, take on a Team Lead role within a project when needed.
Develop your skills in AI Engineering and explore opportunities in this area.

Inne informacje

Remote work is available within Poland.

MW Consulting

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