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ITProfound Inc.

Software Developer - ETL - Senior

Posted 3 Hours Ago
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Design and develop scalable Medallion Data Lakehouse architectures and automated ETL/ELT pipelines on Azure using Databricks, Delta Lake, ADF, and dbt; integrate structured and unstructured data into dimensional schemas; optimize SQL and storage formats; implement CI/CD, data governance, Unity Catalog, and Power BI integration; embed ML insights.
The summary above was generated by AI
We do have a job opening for 

Software Developer - ETL - Senior 

for our direct client Province of Ontario. The position details are given below:

Job Details:
Job ID: 

RQ11258 - Software Developer - ETL - Senior


Client: Health Services Cluster
Duration: 1 year + extension
Type: Onsite


Job Description:

MUST HAVES:

10+ years experience in:

·       Designing and developing scalable Medallion Data Lakehouse architectures.

·       Expertise in data ingestion, transformation, and curation using Delta Lake and Databricks.

·       Experience integrating structured and unstructured data sources into star/snowflake schemas.

·       Building, automating, and optimizing complex ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark, SQL, Delta Live Tables), and dbt.

·       Implementing orchestrated workflows and job scheduling in Azure environments.

·       Strong knowledge of relational (SQL Server, Synapse, PostgreSQL) and dimensional modeling.

·       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 (PySpark), SQL, and PowerShell for data engineering workflows.

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

·       Implementing data lineage, cataloging, metadata management, and data quality frameworks.

·       Experience with Unity Catalog for managing permissions in Databricks environments.

·       Expertise in Power BI (DAX, data modeling, performance tuning).

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

·       Familiarity with MLflow, AutoML, and embedding AI-driven insights into data pipelines.



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