Data Integration Analyst: Pipelines & APIs

Socket.dev; Fort St. John; Hybrid; CAD 76,000 - 87,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

BC Energy Regulator is seeking a Data Integration Analyst to design, build, and maintain data integration and data architecture solutions that enable secure, timely access to high-quality corporate data. You will connect internal and external systems, APIs, and data services to deliver governed data for operational and analytical use.

You will develop and optimize data pipelines, analyze data quality, and contribute to enterprise data architecture patterns including data warehousing, data

Qualifications

• Master’s degree in a related field with 3 years of relevant experience, or Bachelor’s with 4 years of experience, or equivalent.
• Experience designing, building, and supporting data integration solutions across systems and platforms.
• Experience with SQL and relational and non-relational data sources; building reliable transformations.

Responsibilities

• Lead end-to-end data integration solutions from requirements through deployment and operation.
• Develop and optimize data pipelines, workflows, and transformation processes across platforms.
• Analyze source systems to define integration requirements and improve data quality.

Skills

Analytical thinking

Communicating effectively

Execution and driving results

Problem solving

Education

Master’s degree in CS/IS/Data Management or related

Bachelor’s degree in CS/IS/Data Management or related

Tools

Git

REST/GraphQL

CI/CD

Job description

BC Energy Regulator is seeking a Data Integration Analyst to design, build, and maintain data integration and data architecture solutions that enable secure, timely access to high-quality corporate data. You will connect internal and external systems, APIs, and data services to deliver governed data for operational and analytical use.

You will develop and optimize data pipelines, analyze data quality, and contribute to enterprise data architecture patterns including data warehousing, data