GCP Analytics Engineer

20.2k - 30.2k PLN20 200 - 30 200 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WrocławFull-time·B2B

#471086·Dodano 6 dni temu·1

Źródło: SOLID.Jobs

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Tech Stack / Keywords

DBTSQL BigQueryData modelingData warehouseDocker PythonDokumentacja projektowa

Podsumowanie oferty

Design and maintain dbt-based transformation frameworks and data models for Silver and Gold layers on modern data platforms. The work focuses on BigQuery, transformation performance, and data quality and governance.

Wymagania

Strong commercial experience with dbt.
Strong SQL skills.
Hands-on experience with BigQuery.
Experience designing and building analytical or transformation layers on modern data platforms.
Experience developing and maintaining data models for enterprise analytics environments.
Understanding of data model lifecycle management and versioning.
Experience with Docker-based deployment approaches.
Familiarity with Python.
Experience optimizing the performance and operational efficiency of data transformations.
Strong communication and documentation skills.
2 lata doświadczenia na podobnym stanowisku.

Nice to have:

Experience with Apache Airflow and BigQueryInsertJobOperator or similar orchestration approaches.
Familiarity with Google Cloud Storage and Kubernetes.
Experience building reusable transformation frameworks.
Experience optimizing cloud processing costs.
Experience in regulated industries, including banking or financial services.
Experience supporting data quality and governance initiatives.

Obowiązki

Design, develop, and maintain dbt-based transformation frameworks.
Build and optimize data models supporting Silver and Gold data layers.
Optimize dbt execution performance and operational efficiency.
Support versioning and lifecycle management of dbt artifacts.
Separate dbt models from runtime Docker images and implement controlled distribution mechanisms.
Evaluate and implement alternative execution approaches using native BigQuery capabilities where appropriate.
Consolidate and simplify data transformation workflows.
Collaborate with Data Engineering, DevOps, and Platform teams.
Support data quality and transformation governance initiatives.
Prepare and maintain technical documentation.

Benefity

Elastyczne godziny pracy.

Elastyczne godziny

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