Job Description

about the role Responsible for developing and supporting Data Engineering services on GCP platform for Big Data stream. Design, develop and maintain data engineering tools for collecting, exploring and transferring data Design, develop and maintain data pipelines Prospect Cloud environments & Develop guiding principles, standards and best practices for team members. Responsible for the analysis, design and implementation of cloud solutions Act as Big Data Engineer (Development/Support) for customer facing engagement. Assist clients in defining strategy & migrating to the cloud Work according to SLAs and strategic direction/implementation plans devised for the Agile sprint. Participate in training programs to increase the effectiveness and knowledge. Participate to provide Solution Proof of Concept Project build & integration support (TTM or customer project). Create documentation/ plans for activities performed. about you Desired skills/knowledge Knowledge Programming language adapted to Data Engineering (Python, Scala/Java). Excellent knowledge and solid experience in GCP (BigQuery, PubSub, Dataproc, Dataflow etc.) Knowledge of implementing DWH flows migration to GCP. Strong Skills on data pipelines architecture, from data ingestion to exploitation. Data Analysis and visualization methodologies (VertexAI / Dataproc) ETL methodologies on GCP platform. Basic knowledge on comprehension of distributed systems (Hadoop ecosystems) Spark, Kafka, Flume, Hive, Sqoop knowledge in terms of writing data ingestion flows, Databases (PLSQL) Knowledge of troubleshooting ingestion flow failures and providing fix. Knowledge on Netezza, Abinitio, PLSQL/PLSQL on Netezza (migration to queries on top of BigQuery) Skill on writing Cloud Composer/Airflow flows Knowledge of DevOps tools (Jenkins, Git etc.) Knowledge of automation framework (Terraform, Ansible) Problem solving and investigation capabilities. Skill to Design & Implement complex configurations. Strong communication skills Agile Methodologies. Good written and fluent English Good interpersonal skills Good Team player Skill Set GCP Data Engineer (BigQuery, DataProc, PubSub, CloudComposer/ Airflow, Dataflow etc) Python Development Scala/Java Secondary Skillset Data Legacy Architectures (Cloudera, Hortonworks, Teradata ) DevOPS, Jenkins, Git, Ansible and Docker & Containers. Cloud Native Services - Compute, Network, Storage additional information Educational Qualifications University degree in Engineering or Science, master\'s degree in computer science / Applications or BS Computer or equivalent with 60% or above. Appropriate Platform Professional Certification in GCP, Data Engineer and ITIL. department Global Delivery & Operations L\'ambition d\'Orange Business est de devenir l\'int grateur r seaux et num rique de r f rence en Europe, en nous appuyant sur nos forces autour des solutions de connectivit nouvelle g n ration, du cloud et de la cybers curit . Nos 30 000 femmes et hommes pr sents dans 65 pays, dont chaque voix compte, sont tous anim s par la m me d termination et le m me esprit d\' quipe, pour construire les solutions digitales d\'aujourd\'hui et de demain et cr er un impact positif pour nos clients, pour leurs salari s et pour la plan te. Nous offrons des opportunit s passionnantes gr ce des projets innovants dans la data et le digital, le cloud, l\'IA, la cybers curit , l\'IoT, ou encore le digital workspace etle big data. Venez vivre cette aventure avec nous!

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