Job Description

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/solution
xc2xb7 Participate to the implementation of the releases following the change & release management processes
xc2xb7 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 principles
o Customer, solution and improvement minded
o Good communicator who values collaboration with others
xc2xb7 Good to have:
o Experience with DevOps practices
o Experience in using GitHub Copilot
o Experience in NoSQL databases (CouchBase)
o Experience in PowerBI
Technical 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 Kafka
o Flink
o Spark Streaming
xc2xb7 You master programming languages as Java & Python/PySpark as well as SQL and are proficient in UNIX scripting
xc2xb7 Data formats like JSON, Parquet, XML and REST API have no secrets for you
xc2xb7 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 move to Azure, 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 Engineer
Preferred Skills :
Technology->Big Data - Data Processing->Spark
Educational Requirements :
Bachelor of Engineering
Service Line :
Data & Analytics Unit