Cloud Data Administrator

Required Qualifications

• Apache Spark (on Databricks)
• Proficient in PySpark and spark SQL
• Spark optimization techniques (caching, partitioning, broadcast joins)
• Writing and scheduling notebooks/jobs in Databricks
• Understanding of Delta Lake architecture and features
• Working with Databricks Workflows (pipelines and job orchestration)
• SQL/Python Programming
• Handling JSON, XML, and other semi-structured formats
• Experience with API integration using requests, http, etc.
• Error handling and logging API Ingestion
• Designing and implementing ingestion pipelines for RESTful API
• Transforming and loading JSON responses to Spark tables
• Cloud & Data Platform Skills
• Databricks on Azure
• Cluster configuration and management
• Unity Catalog features (optional but good to have)
• Azure Data Factory
• Creating and managing pipelines for orchestration
• Linked services and datasets for ADLS, Databricks, SQL Server
• Parameterized and dynamic ADF pipelines
• Triggering Databricks notebooks from ADF
• Data Engineering Foundations
• Data modeling and warehousing concepts
• ETL/ELT design patterns
• Data validation and quality checks
• Working with structured and semi-structured data (JSON, Parquet, Avro)
• DevOps & CI/CD
• Git/GitHub for version control
• CI/CD using Azure DevOps or GitHub Actions for Databricks jobs Infrastructure-as-code (Terraform for Databricks or ADF)

Additional Requirements

• Bachelor's degree in computer science, information systems, or a related field.
• 4+ years of experience in cloud data engineering, data platform, or analytics engineering role.
• Familiarity with data governance, security principles, and data quality best practices.
• Excellent analytical thinking and problem-solving skills.
• Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders.
• Microsoft certifications in Azure Data Engineer, Power Platform, or related field is desired
• Experience with Azure APIM is nice to have
• Knowledge of enterprise data architecture and data warehouse principles (e.g., dimensional modeling) an asset

Compensation and Benefits Package

• Seaspan’s total compensation is based on our pay-for-performance philosophy that rewards team members who deliver on and demonstrate our high-performance culture. The hiring range for this position is $100,000 - $115,000 CAD per annum. The exact base salary offered will be commensurate with the incumbent’s experience, job-related skills and knowledge, and internal pay equity.
• Seaspan Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you.

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