Analyst in ETC (Extraction, Transformation, Data Loading)

CoFoMo Inc.

Montreal (administrative region)

Hybrid

CAD 90,000 - 120,000

Full time

14 days+
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Job summary

CoFoMo Inc. in Montreal, Canada is seeking a data engineer to design, develop and maintain data extraction, transformation and loading processes, and to build dimensional data warehouses and operational data stores that meet business needs.

You will collaborate with data analysts and BI specialists, ensure data quality and security, automate pipelines, and apply governance and privacy requirements while leveraging Oracle or PostgreSQL and tools like Tableau or Power BI.

Qualifications

  • Hold a bachelor's degree in information technology, business administration or a related field.
  • Have a minimum of five (5) years of experience in SQL and PL/SQL programming.
  • Master the design, development and maintenance of dimensional data warehouses or operational data stores.
  • Leverage Oracle or PostgreSQL databases in enterprise environments.
  • Develop data extraction, transformation and loading processes as well as data pipelines.
  • Use visualization and reporting tools such as Qlik Sense, Tableau or Power BI.
  • Participate in projects carried out using agile approaches.
  • Understand the principles of data modeling and data warehouse architecture.
  • Analyze complex needs and recommend solutions adapted to business objectives.
  • Demonstrate rigor, autonomy and excellent analytical skills.
  • Collaborate effectively with multidisciplinary teams and communicate clearly with stakeholders.

Responsibilities

  • Design, develop and maintain solutions for data extraction, transformation, loading and provision
  • Develop data processing and pipelines using SQL and PL/SQL
  • Develop dimensional data warehouses and operational data stores that meet business needs
  • Structure data architectures and the infrastructures necessary for their exploitation
  • Ensure the quality, reliability, integrity and security of data through the application of appropriate controls
  • Collaborate with data analysts, business intelligence specialists and data scientists to meet their information needs
  • Automate data flows and optimize loading and transformation processing
  • Validate data and resolve anomalies that may affect its use
  • Document the processes, transformations and business rules associated with the data
  • Enforce applicable data governance and privacy requirements

Skills

SQL
PL/SQL
Data modeling
Analytical skills
Autonomy

Education

Bachelor's degree in IT or related field

Tools

Oracle
PostgreSQL
Qlik Sense
Tableau
Power BI

Job description

Here is a brief overview of the tasks and responsibilities that will fall to you:
  • Design, develop and maintain solutions for data extraction, transformation, loading and provision
  • Develop data processing and pipelines using SQL and PL/SQL
  • Develop dimensional data warehouses and operational data stores that meet business needs
  • Structure data architectures and the infrastructures necessary for their exploitation
  • Ensure the quality, reliability, integrity and security of data through the application of appropriate controls
  • Collaborate with data analysts, business intelligence specialists and data scientists to meet their information needs
  • Automate data flows and optimize loading and transformation processing
  • Validate data and resolve anomalies that may affect its use
  • Document the processes, transformations and business rules associated with the data
  • Enforce applicable data governance and privacy requirements
The profile sought is as follows:
  • Hold a bachelor's degree in information technology, business administration or a related field
  • Have a minimum of five (5) years of experience in SQL and PL/SQL programming
  • Master the design, development and maintenance of dimensional data warehouses or operational data stores
  • Leverage Oracle or PostgreSQL databases in enterprise environments
  • Develop data extraction, transformation and loading processes as well as data pipelines
  • Use visualization and reporting tools such as Qlik Sense, Tableau or Power BI
  • Participate in projects carried out using agile approaches
  • Understand the principles of data modeling and data warehouse architecture
  • Analyze complex needs and recommend solutions adapted to business objectives
  • Demonstrate rigor, autonomy and excellent analytical skills
  • Collaborate effectively with multidisciplinary teams and communicate clearly with stakeholders
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