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GCP Analytics Engineer

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SeniorZdalnie·WarszawaFull-time

#463476·Dodano 14 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

DevOpsCloudCI/CD Docker PythondbtSQL GCPAnalytics platformGoogle Cloud StorageBigQuery Apache Airflow

Podsumowanie oferty

Build and maintain dbt-based transformation frameworks and data models for enterprise analytics environments. The work includes optimizing transformations and supporting data quality and governance initiatives using dbt, BigQuery, SQL, and Docker.

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.

Nice to have:

Experience with Apache Airflow.
Experience with 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

Training budget.
Private healthcare.
Multisport.
Integration events.
International projects.
Mental health support.
Referral program.
Modern office.
Canteen.
Free snacks and beverages, including tea and coffee.
In-house trainings and hack days.
Playroom.
No dress code.

Dofinansowanie szkoleń

Opieka zdrowotna

Karta sportowa

Spotkania integracyjne

Firmowa stołówka

Darmowe przekąski

Napoje w biurze

Szkolenia wewnętrzne

Inne informacje

Recruitment process: CV review, HR call, interview, client interview, and decision.

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