Senior Data Engineer

8 hours ago

Toronto, Ontario, Canada Alliance Search Partners Full time

SENIOR DATA ENGINEER

Location: Toronto, downtown business core, hybrid

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

Responsibilities

  • 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.

Requirements

  • 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 SageMaker, 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.

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