Specialist Software Cloud Developer
About The Position
The Cloud Team delivers cloud-based solutions across CPKC, providing expertise in AWS and Azure to support real‑time data processing, on‑premises integrations, custom web applications, AI, containers, and EC2‑hosted workloads. The team also designs, develops, and maintains enterprise data integration solutions, working with diverse data sources including Oracle, SQL Server, SAP, SAP BW, Snowflake and other enterprise systems across on-premises and cloud environments. The Specialist Cloud Development position focuses on serverless cloud technologies and data engineering/integration and requires an experienced hands-on full-stack cloud and data developer who can lead technical initiatives in collaboration with other developers, solution architects, business analysts, and business stakeholders.
Requirements
- Bachelor’s degree in Computer Science or related field
- 5+ years of experience in AWS cloud development combined with data engineering / ETL / ELT development, strong SQL, and enterprise integration tools (e.g., Snowflake, Informatica)
- Strong programming skills in Python and SQL, with exposure to TypeScript, React, and Node.js for cloud applications
- Hands-on experience with core AWS services (Lambda, CloudWatch) and Infrastructure as Code (CloudFormation, CDK)
- Solid understanding of AWS architecture and infrastructure components (VPCs, EC2, ELB, EBS) and AWS development tools (CDK, CLI, Amplify)
- Experience building data pipelines and large-scale cloud solutions using tools such as PySpark, Pandas, APIs, and modern data platforms (Snowflake, Palantir)
- Knowledge of data architecture and governance including data modeling, warehousing, quality frameworks, and integrations (SAP/SAP BW, Oracle, SQL Server, NoSQL)
- Familiarity with AI/ML tools (Amazon Bedrock, SageMaker), CI/CD pipelines, cloud security best practices, and exposure to Azure or GCP as an asset
Responsibilities
- Maintain, support, and monitor production applications, data processes, and cloud services - including incident resolution and root‑cause analysis
- Design, develop, and maintain ETL/ELT workflows to extract data from diverse sources including Oracle, SQL Server, SAP, SAP BW, Snowflake, AWS, Azure, GCP, and other enterprise systems
- Utilize SQL, Python, Informatica, Snowflake, PySpark, and additional data integration technologies to wrangle, transform, and consolidate data from on-premises and cloud environments
- Build, optimize, and maintain scalable data pipeline architecture (including time series pipelines) from ingestion to analytics, ensuring data quality, integrity, and accessibility through robust pipeline architecture and documentation
- Assemble large, complex datasets that meet functional and non‑functional business requirements
- Identify and implement internal process improvements, including automation and performance optimization for data delivery
- Follow and contribute to development standards (naming, documentation, promotion, integrations, code repositories)
- Monitor cloud usage and recommend cost‑optimization strategies
- Collaborate with cloud team members, architects, developers, data scientists, and engineers to ensure best‑practice solutions across cloud, big data, NLP, and ML
- Provide sustainment duties, including 24/7 on‑call rotation for cloud support
- Maintain security and confidentiality standards while staying aware of emerging trends in cloud computing and serverless technologies
Benefits
- Flexible and competitive benefits package
- Competitive company pension plan
- Employee Share Purchase Plan
- Performance Incentive Program
- Annual Fitness Subsidy
- Part-time Studies Program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
