Data Engineer

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What the job entails: Work with your fellow Data Engineers to translate customer requirements into technical designs, and follow this through to delivery of the solution.Understand customer data structures and transformation requirements to build suitable solutions on Google Cloud PlatformContribute to the design, plan and build of highly available, global and cloud native data platformsAssist customers in understanding how cloud technology can help them grow and the benefits it offersKey skills: Experience in data engineering or machine learning Confidence with written and verbal communicationHands on experience with GCP, Azure or AWSBuilt large data architecturesBuilt ETL/ELT pipelines, data lakes and warehouses. Languages: Python, R, SQL.Google database services: Firestore, CloudSQL, Big Query ad/or their equivalentsExperienced in using unit testing and CI/CDData modelling techniques and SQLWorking knowledge of Data governance principlesExperience using Git and related tooling. A good understanding of some of the following:Hadoop / Spark | Apache Airflow | Apache Beam | Relational database technologies (Microsoft SQL, Oracle or PostgreSQL) | Teradata | Tensorflow | Analytical tools (Looker, Tableau, Qlik, Data Studio)Desirable skills: Experience with or knowledge of Google Cloud Platform (e.g. Pub/Sub, Dataflow, BigQuery, Firestore, etc.)Exposure to real time data ingestion / streaming data sourcesExperience in or knowledge of working in an agile project based environmentBachelor or Masters degree in Computer Science, Data Science or equivalent experience Please note: My client is unable to provide visa sponsorships.