Senior Data Solution Developer

Benefits Program
Insurance plans (Dental, medical, life insurance, disability, and more)
Retirement savings plan
Employee Assistance Program
Responsibilities
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.
Qualifications
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.
Equal Opportunity Statement Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
Job Details Job
Senior Data Solution Developer
Primary Location
Administrative Centre (CA)
Organization
Aerospace Canada
Shift
Day job
Employee Status
Regular
Requisition
11635 Senior Data Solution Developer
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