Senior Data Engineer

Alliance Search Partners provided pay range

This range is provided by Alliance Search Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

CA$/yr - CA$/yr

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Location:

Toronto, downtown business core, hybrid

Salary: $100-120K per year, depending on experience and qualifications

• Understand business requirements for data and information in the financial services industry.
• Collaborate with cross-functional teams to deliver analytics solutions.
• Design and implement scalable data pipelines and ETL processes.
• Drive technology modernization and migration projects to modern platforms.
• Develop and maintain data models and data warehouse infrastructure.
• Develop high performing data pipelines in Microsoft SSIS, Azure Data Factory, or Databricks.
• Develop database stored procedures based on Microsoft T‑SQL and/or Oracle PL/SQL.
• Develop data processing modules in the following programming languages: C#, Java, Python
• Perform data profiling and data quality audit.
• Optimize performance and reliability of data systems in cloud and on‑prem environments.
• Design automated unit‑testing framework as per project requirement.
• Integrate pipelines with Continuous Integration/Delivery framework as needed.
• Produce estimates for analysis, design, development, and testing for data pipelines.
• Ensure compliance with business, data, and technical requirements.
• Ensure that client’s enterprise architecture standards, policies, and procedures are followed.

• Minimum Bachelors degree in Computer Science or Engineering.
• Minimum 5 years experience in Data engineering and ETL development.
• Strong problem solving, communication, and collaboration skills.
• Strong knowledge in data analysis, database development, data warehousing life cycle and data integration methodologies (ETL, ELT, EAI, EII).
• Strong SQL knowledge.
• Strong knowledge in Python for data processing and automation.
• Hands‑on experience with cloud‑based data platforms (AWS or Azure).
• Familiarity with AWS tools such as Sage Maker, AWS Unified Studio, and other data services or familiarity with Azure Data Factory.
• Experience in tech modernization/migration projects.
• Familiar with capabilities of various platform services (e.g., Compute, Storage, Web, Developer, Integration, Data, Security, or Management) from the cloud vendors.
• Working knowledge of one of data analytics tools (such as Microsoft Power BI).
• Knowledgeable in both relational and dimensional data modeling (with both Kimball and Inmon approaches).
• Knowledge in data management, REST‑oriented API, Continuous Integration and Delivery (CI/CD) principles.
• Business knowledge in financial industries (i.e., one or more in retail banking, commercial banking, capital markets, wealth management, insurance, pension funds, and fintech).
• Ability to work independently and excel in a team environment.

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting

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