Job Title: Data Engineer
6-month contract, 2 days/week onsite in the Greater Vancouver Metropolitan Area
We are seeking an experienced
Senior Technical Analyst (Data Engineer) to join our client’s Innovation and Technology Group on a contract basis. This role, reporting to the Manager of Business Intelligence, will focus on the
Data Governance Initiative, including pipeline development and data quality management. The ideal candidate will also collaborate on various data engineering projects, supporting digital transformation efforts, enhancing Datahub architecture, and assisting data scientists on key initiatives. This is an exciting opportunity to be part of a fast-paced team that is redesigning the company’s architecture to support digital transformation and advanced analytics capabilities.
Responsibilities
- Develop and maintain infrastructure for data extraction, transformation, and loading from various sources using SQL and Azure cloud services.
- Build analytics tools that leverage the data pipeline to provide insights for enhancing customer experiences and improving operational efficiencies.
- Create and document processes for data collection and integration.
- Partner with advanced analytics and data science teams to create tools that optimize digital products and machine learning models.
- Develop and maintain dashboards and visualizations for key stakeholders.
- Work with stakeholders across all levels to resolve data-related technical issues and ensure data infrastructure supports business needs.
- Collaborate with the Information Security team to secure data sources.
- Identify and implement improvements in internal processes by automating manual workflows and ensuring data infrastructure scalability.
- Establish and monitor data quality metrics, ensuring completeness, accuracy, and consistency.
- Provide technical support to both technical and non-technical teams on a day-to-day basis.
Qualifications
- Minimum 7 years of experience in enterprise-data architecture and environment design, with 5+ years in advanced analytics and project management at a senior level.
- Bachelor’s degree in Computer Science, Statistics, Information Management, or a related field (or equivalent experience).
- Expertise in SQL and experience with relational databases.
- Proficiency with Qlik and Power BI for data visualization and reporting.
- Strong knowledge of Data Governance concepts, as well as experience with Azure, Databricks, and robust pipeline development.
- Familiarity with Data Warehousing and hands-on experience with big data environments.
- Experience with tools like Azure, Databricks, Denodo, Snowflake, and Qlik is highly preferred.
- Skilled in data integration using APIs.
- Programming proficiency in languages such as Python, Java, SQL, and familiarity with R, JSON, HTML.
- Solid project management skills, with experience in both waterfall and agile methodologies.
- Excellent communication and documentation skills, including the ability to articulate complex workflows.