Senior Data Solution Developer

• Administer the enterprise data platforms (DWH, Data Lake, BI).
• Create and maintain performance- and cost-optimized data pipelines, with high reliability, to meet business needs.
• Define and operate the infrastructure required for optimal extraction, loading and transformation (ELT) of data from a wide variety of data sources using SQL, API and Spark technologies.
• Design and implement improvements to life-cycle management processes (DevOps) enabling continuous integration, testing and deployment (CI/CT/CD) of data systems.
• Integrate data from various sources (including external data sources and IoT) and manage the big data as a key enterprise asset.
• Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insights from enterprise data.
• Identify, design, and implement internal processes and frameworks to improve the data platform (e.g. eliminating manual processes, optimizing data delivery, evolving data infrastructure capabilities, etc.)
• Work with stakeholders including product, data and architecture SMEs to assist with data-related technical issues and support their data infrastructure needs.
• Ensure compliance with data architecture, data governance principles and security requirements.
• Implement and maintain the data platform's semantic layer.
• Identify data quality issues and make recommendations for addressing root causes.
• Lead the Data Platform team process improvement by leveraging AI and other forms of automation.
• Set up observability/monitoring to measure reliability of the data pipelines and act quickly (e.g. operational support) in case of incident.

• You hold a bachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field.
• You have 8+ years of experience in a Data Engineer / Data Solution Developer role.
• You have knowledge of Agile / SCRUM project delivery, DevOps and CI/CD practices related to data solutions.
• You have advanced knowledge of SQL, query authoring/optimization and relational databases.
• You have experience optimizing 'big data' pipelines (storage, file formats, partitioning, Spark, Python, streaming).
• You are efficient at performing root cause analysis to address data pipeline issues and applying long-term fixes.
• You have experience designing and building data transformation, data structures, metadata frameworks, semantic layer and automated workload management.
• You have experience implementing data protection measures, understanding data privacy and collaborating with Cybersecurity teams.
• You have good knowledge of Azure data services (Azure Data Factory, Azure Data Lake Storage, Event Hub, Databricks, Lakehouse Medallion Architecture) and PowerBI.
• You have good knowledge of object-oriented and functional programming languages: Python, Java, C++, Scala, etc.
• You have good people skills and are a team player, motivated by developing other people with technical coaching.
• You are a good communicator, who can simplify complex technical issues for non-technical people.
• You are fluent in French and English.

• "route" is used for session stickiness
• "careerSiteCompanyId" is used to send the request to the correct data center
• "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor
• "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another

Bombardier