Responsibilities :Build robust, performing and high scalable, flexible data pipelines with a focus on time to market with quality.Responsibilities:xc2xb7 Act as an active team member to ensure high code quality (unit testing, regression tests) delivered in time and within budget.xc2xb7 Document the delivered code/solutionxc2xb7 Participate to the implementation of the releases following the change & release management processesxc2xb7 Provide support to the operation team in case of major incidents for which engineering knowledge is required.xc2xb7 Participate to effort estimations.xc2xb7 Provide solutions (bug fixes) for problem mgt.Additional Responsibilities :Preferred:o You are fluent in English, both spoken and written.o You are familiar with agile (Scrum) development principleso Customer, solution and improvement mindedo Good communicator who values collaboration with othersxc2xb7 Good to have:o Experience with DevOps practiceso Experience in using GitHub Copiloto Experience in NoSQL databases (CouchBase)o Experience in PowerBITechnical and Professional Requirements :You have experience with most of these technologies: HDFS, Ozone, Hive, Impala, Spark, Atlas, Ranger. Knowledge of GraphQL, Venafi (Certificate Mgt) and Collibra (Data Governance) is an asset.xc2xb7 Experience in a telecommunication environment and real-time technologies with focus on high availability and high-volume processing is an advantage:o Kafkao Flinko Spark Streamingxc2xb7 You master programming languages as Java & Python/PySpark as well as SQL and are proficient in UNIX scriptingxc2xb7 Data formats like JSON, Parquet, XML and REST API have no secrets for youxc2xb7 You have experience with CI/CD (GitLab/GitHub, Jenkins, Ansible, Nexus) for automated build & test. Knowledge of the Azure DevOps toolset is an asset.As project is preparing a xe2x80x9cmove to Azurexe2x80x9d, the above will change slightly in the course of 2025. However, most of our current technological landscape remains a solid foundation for a role as EDH Data EngineerPreferred Skills :Technology->Big Data - Data Processing->SparkEducational Requirements :Bachelor of EngineeringService Line :Data & Analytics Unit
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