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Analytics Engineer (Praca zdalna)

emagine

Centrum, Warszawa
28 600 - 33 600 PLN
Pełny etat
ETL
📊 DataFrame
jQuery
Fiber
GCP
🐍 Python
SQL
Pełny etat

Czym będziesz się zajmować? Project Type:Work Type: RemoteLocation: Only European Union (Remote Work)Client Industry: Wholesale & FoodserviceProject Start Date: As soon as possibleDuration: Minimum 12 months (preferably 24 months)Contract B2B, rates 170-200 PLN/H depending on the candidates experienceTeam Size: Currently about 12 FTE (4 cloud engineers, 3 data engineers, 5 analytics engineers)Working Hours: 09:00 – 17:00 (NL time zone)Language: EnglishTravel Requirements: Preferably on-site meetings once a month (negotiable)Daily Challenges:Designing, building, and maintaining scalable data pipelines and a state-of-the-art lakehouse within Google Cloud.Managing and optimizing robust data models.Developing efficient ELT processes using DBT and Fivetran to collect, transform, and load data from various sources.Collaborating with data scientists and analysts to generate valuable data-driven insights.Ensuring well-structured, accessible datasets that support the analytics team.Safeguarding data integrity by implementing solid validation processes.Troubleshooting and resolving complex technical issues related to data integration and processing.Staying up-to-date with the latest innovations in Google Cloud, data engineering, and analytics.

Kogo poszukujemy? Technical Requirements (Must-Have):Data ModelingData VaultDBTGoogle Cloud Platform (GCP)Experience & Competencies Required:At least 5 years of relevant experience as an Analytics Engineer, Data Engineer, or a similar role, preferably in a Google Cloud environment.A Google Cloud Professional Data Engineer certificate or similar certification (preferred but not mandatory).Expertise in data warehouses, ETL processes, and tools such as BigQuery, Dataflow, Cloud Storage, DBT, SQL, and Python.Experience with data modeling, Data Vault, database design, and query optimization.Strong problem-solving skills and the ability to tackle complex technical challenges.Fluent in English (B2/C1/C2).Ability to understand customer needs and translate them into valuable data solutions.

Wyświetlenia: 10
Opublikowana5 miesięcy temu
Wygasaza 19 dni
Tryb pracyPełny etat
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