Data Engineer
Contractor
contractor
9 Dec 2024
Toronto
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
85 / 100
Offer value
High value role due to extensive experience requirements and involvement with advanced ETL technologies.
- Involvement in prestigious government data projects
- Use of cutting-edge technologies like Databricks and Delta Lake
- Stable, long-term contract with potential for growth
- Requires substantial expertise and experience
Pros
- Involvement in government projects offers stability and prestige
- Opportunities to work with highly advanced ETL and data management tools
- Long-term contract providing professional growth in data engineering
Cons
- High experience requirement (7+ years) may limit candidate pool
- Onsite work three days a week could be inconvenient for some
- Government contracts can involve bureaucratic challenges
Who it's for
Senior / Lead • Hybrid / Onsite three days a week
Good fit
- Experienced data engineers with strong backgrounds in ETL
- Candidates looking for stability in government projects
- Individuals seeking to advance in data analytics and engineering
Not recommended for
- Less experienced engineers unfamiliar with ETL processes
- Preferably remote work seekers
- Candidates resistant to hierarchical structures
Motivation fit
Desire to work on impactful government projectsInterest in mastering advanced data management techniquesEagerness to lead within a technical team environment
Key skills
Advanced ETL processesDelta Lake and DatabricksPython and PySpark programmingTeam leadership and collaboration
Score: 85/100 AI verified analysis
About the job
Data Enginer – Senior
Ministry - Government Client
Toronto 3 days onsite
CRJMC
14 month contract
Must Have Skills
· 7+ years using ETL tools such as Microsoft SSIS, stored procedures, T-SQL
· 2+ Delta Lake, Databricks and Azure Databricks pipelines
o Strong knowledge of Delta Lake for data management and optimization.
o Familiarity with Databricks Workflows for scheduling and orchestrating tasks.
· 2+ years Python and PySpark
· Solid understanding of the Medallion Architecture (Bronze, Silver, Gold) and experience implementing it in production environments.
· Hands-on experience with CDC tools (e.g., GoldenGate) for managing real-time data.
· SQL Server, Oracle
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Experience:
· Experience of 7+ years of working with SQL Server, T-SQL, Oracle, PL/SQL development or similar relational databases
· Experience of 2+ years of working with Azure Data Factory, Databricks and Python development
· Experience building data ingestion and change data capture using Oracle Golden Gate
· Experience in designing, developing, and implementing ETL pipelines using Databricks and related tools to ingest, transform, and store large-scale datasets
· Experience in leveraging Databricks, Delta Lake, Delta Live Tables, and Spark to process structured and unstructured data.
· Experience working with building databases, data warehouses and working with delta and full loads
· Experience on Data modeling, and tools – e.g. SAP Power Designer, Visio, or similar
· Experience working with SQL Server SSIS or other ETL tools, solid knowledge and experience with SQL scripting
· Experience developing in an Agile environment
· Understanding data warehouse architecture with a delta lake
· Ability to analyze, design, develop, test and document ETL pipelines from detailed and high-level specifications, and assist in troubleshooting.
· Ability to utilize SQL to perform DDL tasks and complex queries
· Good knowledge of database performance optimization techniques
· Ability to assist in the requirements analysis and subsequent developments
· Ability to conduct unit testing and assist in test preparations to ensure data integrity
· Work closely with Designers, Business Analysts and other Developers
· Liaise with Project Managers, Quality Assurance Analysts and Business Intelligence Consultants
· Design and implement technical enhancements of Data Warehouse as required.
Technical Skills (70 points)
· Experience in developing and managing ETL pipelines, jobs, and workflows in Databricks.
· Deep understanding of Delta Lake for building data lakes and managing ACID transactions, schema evolution, and data versioning.
· Experience automating ETL pipelines using Delta Live Tables, including handling Change Data Capture (CDC) for incremental data loads.
· Proficient in structuring data pipelines with the Medallion Architecture to scale data pipelines and ensure data quality.
· Hands-on experience developing streaming tables in Databricks using Structured Streaming and readStream to handle real-time data.
· Expertise in integrating CDC tools like GoldenGate or Debezium for processing incremental updates and managing real-time data ingestion.
· Experience using Unity Catalog to manage data governance, access control, and ensure compliance.
· Skilled in managing clusters, jobs, autoscaling, monitoring, and performance optimization in Databricks environments.
· Knowledge of using Databricks Autoloader for efficient batch and real-time data ingestion.
· Experience with data governance best practices, including implementing security policies, access control, and auditing with Unity Catalog.
· Proficient in creating and managing Databricks Workflows to orchestrate job dependencies and schedule tasks.
· Strong knowledge of Python, PySpark, and SQL for data manipulation and transformation.
· Experience integrating Databricks with cloud storage solutions such as Azure Blob Storage, AWS S3, or Google Cloud Storage.
· Familiarity with external orchestration tools like Azure Data Factory
· Implementing logical and physical data models
· Knowledge of FHIR is an asset
Design Documentation and Analysis Skills (20 points)
· Demonstrated experience in creating design documentation such as:
o Schema definitions
o Error handling and logging
o ETL Process Documentation
o Job Scheduling and Dependency Management
o Data Quality and Validation Checks
o Performance Optimization and Scalability Plans
o Troubleshooting Guides
o Data Lineage
o Security and Access Control Policies applied within ETL
· Experience in Fit-Gap analysis, system use case reviews, requirements reviews, coding exercises and reviews.
· Participate in defect fixing, testing support and development activities for ETL
· Analyze and document solution complexity and interdependencies including providing support for data validation.
· Strong analytical skills for troubleshooting, problem-solving, and ensuring data quality.
Communication and Leadership Skills (10 points)
· Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
· Strong problem-solving skills and experience working in an Agile or Scrum environment.
· Ability to provide technical guidance and support to other team members on Databricks best practices.
· Must have previous work experience in conducting Knowledge Transfer sessions, ensuring the resources will receive the required knowledge to support the system.
· Must develop documentation and materials as part of a review and knowledge transfer to other members.
