GCP Cloud Data Engineer @ ITDS

2 weeks ago

Warszawa, Czech Republic ITDS Full time

You’re ideal for this role if you have: Strong proficiency in SQL with experience optimizing complex queries Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Composer) Solid programming skills in Python and familiarity with Git Experience in building and maintaining cloud-based data solutions Understanding of data governance principles and best practices Proven ability to analyze business requirements and translate them into technical deliverables Strong communication and collaboration skills with cross-functional teams Bachelor’s degree in Computer Science, Engineering, or related field Working proficiency in English (minimum B2 level) Nice to have: Experience with BI tools such as Qlik Sense, Looker Studio, or Tableau Possession of formal data-related certifications (e.g., Google Cloud Data Engineer, Data Analyst, Data Architect) Familiarity with Data Governance concepts and frameworks GCP Cloud Data Engineer Warsaw based opportunity with a hybrid work model - 2-3 day/week in the office. As a Cloud Data Engineer you will be working for our client, a dynamic and fast-growing technology company that delivers tailored IT and engineering solutions, including web platforms, e-commerce systems, mobile applications, and AI-based systems. The client provides end-to-end development and maintenance of Google Cloud services, supporting organizations in their digital transformation. For one of their key partners, a leading FMCG company in Europe - they are seeking a Cloud Data Engineer to join a long-term project in Warsaw focused on modernizing analytics and reporting capabilities through Google Cloud technologies. ,[Analyze business goals and translate them into efficient data solutions, Design, build, and maintain scalable data pipelines and integration mechanisms, Develop and optimize data models to support analytics and reporting needs, Implement and maintain data governance standards and documentation, Collaborate with cross-functional teams to define and deliver business requirements, Monitor, troubleshoot, and optimize data workflows and system performance, Recommend architectural and engineering improvements in data infrastructure, Work closely with application providers to develop and enhance data flows, Automate data ingestion, transformation, and quality control processes, Ensure security, compliance, and consistency across all data environments] Requirements: SQL, Google Cloud Platform, Python, Git, Degree, BI, Qlik Sense, Looker, Tableau, Google Cloud Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects.

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