Software Developer - ETL - Senior

Title: Software Developer - ETL

Location: Toronto, ON (Hybrid – 3 days Onsite)

Duration: 92 days with possibility of extension

Must Have Skills

1. 7+ years using ETL tools such as Microsoft SSIS, stored procedures, T-SQL
2. 2+ years with Delta Lake, Databricks, and Azure Databricks pipelines
3. Strong knowledge of Delta Lake for data management and optimization.
4. Familiarity with Databricks Workflows for scheduling and orchestrating tasks.
5. 2+ years Python and PySpark
6. Solid understanding of the Medallion Architecture (Bronze, Silver, Gold) and experience implementing it in production environments.
7. Hands-on experience with CDC tools (e.g., GoldenGate) for managing real-time data.
8. SQL Server, Oracle

Experience:

1. 7+ years of working with SQL Server, T-SQL, Oracle, PL/SQL development or similar relational databases
2. 2+ years of working with Azure Data Factory, Databricks, and Python development
3. Experience building data ingestion and change data capture using Oracle Golden Gate
4. Experience in designing, developing, and implementing ETL pipelines using Databricks and related tools to ingest, transform, and store large-scale datasets
5. Experience in leveraging Databricks, Delta Lake, Delta Live Tables, and Spark to process structured and unstructured data.
6. Experience working with building databases, data warehouses and working with delta and full loads
7. Experience on Data modeling, and tools – e.g. SAP Power Designer, Visio, or similar
8. Experience working with SQL Server SSIS or other ETL tools, solid knowledge and experience with SQL scripting
9. Experience developing in an Agile environment
10. Understanding data warehouse architecture with a delta lake
11. Ability to analyze, design, develop, test and document ETL pipelines from detailed and high-level specifications, and assist in troubleshooting.
12. Ability to utilize SQL to perform DDL tasks and complex queries
13. Good knowledge of database performance optimization techniques
14. Ability to assist in the requirements analysis and subsequent developments
15. Ability to conduct unit testing and assist in test preparations to ensure data integrity
16. Work closely with Designers, Business Analysts and other Developers
17. Liaise with Project Managers, Quality Assurance Analysts and Business Intelligence Consultants
18. Design and implement technical enhancements of Data Warehouse as required.

Development, Database and ETL experience (60 points)

1. Experience in developing and managing ETL pipelines, jobs, and workflows in Databricks.
2. Deep understanding of Delta Lake for building data lakes and managing ACID transactions, schema evolution, and data versioning.
3. Experience automating ETL pipelines using Delta Live Tables, including handling Change Data Capture (CDC) for incremental data loads.
4. Proficient in structuring data pipelines with the Medallion Architecture to scale data pipelines and ensure data quality.
5. Hands-on experience developing streaming tables in Databricks using Structured Streaming and readStream to handle real-time data.
6. Expertise in integrating CDC tools like GoldenGate or Debezium for processing incremental updates and managing real-time data ingestion.
7. Experience using Unity Catalog to manage data governance, access control, and ensure compliance.
8. Skilled in managing clusters, jobs, autoscaling, monitoring, and performance optimization in Databricks environments.
9. Knowledge of using Databricks Autoloader for efficient batch and real-time data ingestion.
10. Experience with data governance best practices, including implementing security policies, access control, and auditing with Unity Catalog.
11. Proficient in creating and managing Databricks Workflows to orchestrate job dependencies and schedule tasks.
12. Strong knowledge of Python, PySpark, and SQL for data manipulation and transformation.
13. Experience integrating Databricks with cloud storage solutions such as Azure Blob Storage, AWS S3, or Google Cloud Storage.
14. Familiarity with external orchestration tools like Azure Data Factory
15. Implementing logical and physical data models
16. Knowledge of FHIR is an asset

Design Documentation and Analysis Skills (20 points)

1. Demonstrated experience in creating design documentation such as:
2. Schema definitions
3. Error handling and logging
4. ETL Process Documentation
5. Job Scheduling and Dependency Management
6. Data Quality and Validation Checks
7. Performance Optimization and Scalability Plans
8. Troubleshooting Guides
9. Data Lineage
10. Security and Access Control Policies applied within ETL
11. Experience in Fit-Gap analysis, system use case reviews, requirements reviews, coding exercises, and reviews.
12. Participate in defect fixing, testing support and development activities for ETL
13. Analyze and document solution complexity and interdependence including providing support for data validation.
14. Strong analytical skills for troubleshooting, problem-solving, and ensuring data quality

Certifications (10 points)

1. Certified in one or more of the following certifications:
2. Databricks Certified Data Engineer Associate
3. Databricks Certified Professional Data Engineer
4. Microsoft Certified: Azure Data Engineer Associate
5. AWS Certified Data Analytics - Specialty
6. Google Cloud Professional Data Engineer