Job Description

Title: Software Developer - ETL
Location: Toronto, ON (Hybrid - 3 days Onsite)
Duration: 92 days with possibility of extension
Must Have Skills

• 7+ years using ETL tools such as Microsoft SSIS, stored procedures, T-SQL
• 2+ Delta Lake, Databricks and Azure Databricks pipelines
• Strong knowledge of Delta Lake for data management and optimization.
• 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

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.

Development, Database and ETL experience (60 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:
• Schema definitions
• Error handling and logging
• ETL Process Documentation
• Job Scheduling and Dependency Management
• Data Quality and Validation Checks
• Performance Optimization and Scalability Plans
• Troubleshooting Guides
• Data Lineage
• 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 interdependence including providing support for data validation.
• Strong analytical skills for troubleshooting, problem-solving, and ensuring data quality

Certifications (10 points)

• Certified in one or more of the following certifications:
• Databricks Certified Data Engineer Associate
• Databricks Certified Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Data Analytics - Specialty
• Google Cloud Professional Data Engineer

Skills Required