Job Description

Responsibilities :
Build robust, performing and high scalable, flexible data pipelines with a focus on time to market with quality.
Responsibilities:
Act as an active team member to ensure high code quality (unit testing, regression tests) delivered in time and within budget.
Document the delivered code/solution
Participate to the implementation of the releases following the change & release management processes
Provide support to the operation team in case of major incidents for which engineering knowledge is required.
Participate to effort estimations.
Provide solutions (bug fixes) for problem mgt.
Additional Responsibilities :

• Good knowledge on software configuration management systems
• Strong business acumen, strategy and cross-industry thought leadership
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Two or three industry domain knowledge
• Understanding of the financial processes for various types of projects and the various pricing models available
• Client Interfacing skills
• Knowledge of SDLC and agile methodologies
• Project and Team management

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.
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
You master programming languages as Java & Python/PySpark as well as SQL and are proficient in UNIX scripting
Data formats like JSON, Parquet, XML and REST API have no secrets for you
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->Analytics - Packages->Python - Big Data,Technology->Big Data - Data Processing->Spark
Educational Requirements :
Bachelor of Engineering
Service Line :
Data & Analytics Unit