Software Developer - ETL - Senior (RQ11258)

We would like to present to you a new job opportunity and I think you may find it interesting.

If you are interested kindly send the following documents to [email removed] by Tuesday, Jun 23, 11;30 AM EST if that interests you and matches your profile.

Without mandatory documents, we cannot submit a candidate.

• Updated Resume in word format (Mandatory)

• References (Mandatory)

• Expected hourly rate (Mandatory)

• Visa Status (Mandatory)

• LinkedIn ID (Mandatory)

Client: Ministry of Public and Business Service Delivery and Procurement

Work Location: 5700 Yonge Street, Toronto, Ontario, Onsite

Estimated Start Date: [phone removed]

Estimated End Date: [phone removed]

#Business Days: 188.00

Extension: Probable after the initial mandate

Hours per day or Week: 7.25 hours per day

Security Level: CRJM

Must haves

• 10+ years’ experience in Designing and developing scalable Medallion Data Lakehouse architectures.

• 10+ years’ experience in Expertise in data ingestion, transformation, and curation using Delta Lake and Databricks.

• 10+ years’ experience integrating structured and unstructured data sources into star/snowflake schemas.

• 10+ years’ experience building, automating, and optimizing complex ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (Py Spark, SQL, Delta Live Tables), and dbt.

• 10+ years’ experience implementing orchestrated workflows and job scheduling in Azure environments.

• Strong knowledge of relational (SQL Server, Synapse, PostgreSQL) and dimensional modelling.

• Advanced SQL query optimization, indexing, partitioning, and data replication strategies.

• Experience with Apache Spark, Delta Lake, and distributed computing frameworks in Azure Databricks.

• Working with Parquet, ORC, and JSON formats for optimized storage and retrieval.

• Deep expertise in Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL, Event Hubs, and Azure Functions.

• Strong understanding of cloud security, RBAC, and data governance.

• Proficiency in Python (Py Spark), SQL, and PowerShell for data engineering workflows.

• Experience with CI/CD automation (Azure DevOps, GitHub Actions) for data pipelines.

• Implementing data lineage, cataloguing, metadata management, and data quality frameworks.

• Experience with Unity CatLog for managing permissions in Databricks environments.

• Expertise in Power BI (DAX, data modelling, performance tuning).

• Experience in integrating Power BI with Azure Synapse and Databricks SQL Warehouses.

• Familiarity with ML flow, Auto ML, and embedding AI-driven insights into data pipelines.

Description

• Design technical solutions for data acquisition and storage into our centralized data repository.

• Develop ELT scripts, design data-driven logic and conduct unit testing.

• Conduct database modelling and design as to improve overall performance.

• Produce design artifacts and documentation which will allow future support of the implemented solutions.

• Investigate and resolve incidents and identify whether the problem is caused by the data loading code or is due to bad data received from the data provider.

• Execute service requests related to routine and ad-hoc data loads.

• Provide the data quality check and report on the data quality issue.

Experience And Skill Set Requirements

Technical Skills - (50 Points)

Core Skill And Experience - (30 Points)

• 10+ years of experience with technical systems specifications and translating them into working, tested applications for large, complex, mission critical applications.

• 10+ years of experience in technical analysis, program code, detailed programming and reports specifications, program design, writing and/or generating code, and conducting unit tests.

• 10+ years of experience in software in various computing platforms, operating systems, database technology, communication protocols, middleware and gateways.

• 10+ years of experience in developing and maintaining system design models, technical documentation, and specifications.

• 5+ years of experience in conducting technical evaluation and assessment of options for technical design issues, application configuration aspects and integration capabilities, related tools and utilities, gap analysis of integration components to technical requirements/specifications/documentation.

• SDLC end-to-end.

General Skills - (15 Points)

• Demonstrated strong leadership and people management skills.

• Proven technical leadership skills with ability to identify areas for improvement, and recommend solutions.

• Exceptional analytical, problem solving and decision-making skills.

• Demonstrated strong interpersonal, verbal and written communication, and presentation skills.

• Proven troubleshooting and critical thinking experience.

• Demonstrated ability to apply strong listening skills to facilitate issue resolution.

• Effective consulting skills to engage with all stakeholders with proven track record for building strong work