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Data Architect Cloud


Role Description: Build and migrate existing data solutions to Google Cloud Platform (GCP) to support data analysis and ML/AI products. Develop new data products on GCP using DBT and BigQuery. Collaborate with Solution Architects and Business Experts to design relevant and efficient data models for data products. Integrate and sync data from multiple sources using Cloud Functions and Python, when necessary. Orchestrate components and data pipeline elements using Terraform and Cloud Workflows. Work closely with other Data Engineers, Data Scientists, and Software Engineers to deliver optimal solutions for current business needs. Lees alle informatie over deze vacature zorgvuldig en gebruik vervolgens de sollicitatieknop hieronder om uw cv en sollicitatie te versturen. Competencies: ~ Digital: Google Data Engineering Experience (Years): ~6–8 years Essential Skills: Strong hands-on experience with GCP services (BigQuery, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer, etc.) SQL DBT Python Terraform Power BI (optional/added advantage) CI/CD pipelines Minimum 6 years of experience as: Data Engineer on modern cloud data platforms or advanced analytics environments, or Software Engineer with cloud technologies and infrastructure Experience working with various data xfgnyzt formats (Avro, Parquet) Proficiency in data query languages (SQL or equivalent) Experience with data-centric programming using one or more: Python, Java, Scala Strong understanding of data modeling techniques and trade-offs Knowledge of NoSQL and RDBMS databases Collaborative, co-creative mindset with strong communication skills Ability to work independently and make decisions Experience with data visualization tools

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