data engineer

Senior Data Engineer ? Remote Join a major Alberta public sector organization that is expanding its team with 10 openings to support high-profile data and modernization initiatives. Work alongside multidisciplinary teams to develop modern solutions, leverage emerging technologies, and contribute to projects that deliver value on a provincial scale What is in it for you: ? Salaried: $80-100 per hour. ? Incorporated Business Rate: $101-117 per hour. ? 12-month contract with a maximum extension term of 24 months. ? Full-time schedule of 36.25 hours per week. ? Occasional travel within Alberta may be required to support field research and user interviews. ? Remote work arrangement. All work must be performed within Canada. Responsibilities: ? Design, build, and maintain scalable data pipelines across on-premises and cloud platforms, including Azure, Databricks, Microsoft Fabric, GCP, and AWS. ? Develop, optimize, and maintain data models, including dimensional models such as star and snowflake schemas. ? Integrate data from relational databases, NoSQL platforms, APIs, and files using data integration techniques, including intelligent data mapping, schema discovery, metadata enrichment, and automated data quality validation. ? Enhance ETL/ELT processes through optimization, automation, and performance tuning. ? Develop and operate end-to-end ETL/ELT workflows using tools such as SSIS, Azure/Fabric Data Factory, Dataflows, and Notebooks. ? Implement data validation, error handling, logging, monitoring, and scheduling processes. ? Automate data pipeline deployment and operations through CI/CD practices, automated testing, release management, and monitoring. ? Support enterprise data platform management and governance, including data lakes, data warehouses, security controls, and access management. ? Collaborate with architects, developers, and stakeholders to translate requirements into technical solutions. ? Prepare curated data marts and fact and dimension tables to support analytics. ? Analyze datasets to identify trends, patterns, and anomalies. ? Apply statistical methods, DAX, Python, and R to generate business insights. ? Develop interactive Power BI dashboards and reports, including calculated columns and measures. ? Build predictive and descriptive models using statistical, Python, or R-based machine learning methods. ? Present findings to non-technical audiences and translate complex data into actionable insights. ? Deliver analytics solutions within an Agile environment. ? Support analytics adoption and self-service capabilities. ? Provide data-driven analysis, visualizations, and AI-enabled insights to support priorities and strategic initiatives. What you will need to succeed: Required qualifications ? Bachelor degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. ? 5 years of experience as a Data Engineer and/or Data Analyst. ? 5 years of experience in Python, including PySpark, and SQL. ? 4 years of experience in Business Intelligence and Executive Reporting, including executive dashboards. ? 4 years of experience with Cloud or Hybrid Data Platforms and cloud modernization initiatives. ? 4 years of experience in Data Warehouse and Lakehouse Design.<