Description:
We are seeking a skilled Senior Data Engineer to support a public-sector client in delivering modern, cloud-based data solutions. In this role, you'll work within Agile, cross-functional product teams to design, develop, and optimize scalable data platforms, ETL/ELT pipelines, analytics solutions, and self-service reporting capabilities that enable data-driven decision-making across government.
Key Responsibilities
- Design, build, and maintain scalable data pipelines across cloud and hybrid environments.
- Develop ETL/ELT workflows using Azure Data Factory, Microsoft Fabric, Databricks, SSIS, and notebooks.
- Build and optimize dimensional data models, including star and snowflake schemas.
- Integrate data from relational databases, APIs, NoSQL platforms, and file-based sources.
- Develop curated data marts, fact tables, and semantic models to support analytics.
- Automate deployments using CI/CD pipelines and DevOps best practices.
- Support enterprise data governance, security, and access management.
- Develop Power BI dashboards, reports, and business intelligence solutions using DAX.
- Perform data analysis using Python, SQL, and statistical techniques to identify trends and insights.
- Collaborate with business stakeholders to translate requirements into scalable data solutions.
- Apply AI-enabled techniques to improve data integration, quality, and engineering productivity.
Mandatory Skills & Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, Data Science, or a related field.
- 15+ Experience as a Data Engineer and/or Data Analyst.
- Experience with Python (including PySpark) and SQL.
- Experience designing and implementing ETL/ELT pipelines.
- Experience with Business Intelligence, KPI reporting, and executive dashboards.
- Experience with cloud or hybrid data platform implementations.
- Enterprise Data Warehouse or Lakehouse design using Star/Snowflake schemas.
- Experience with Azure, Databricks, Microsoft Fabric, AWS, or GCP.
- Experience using AI-assisted development tools to improve productivity.
- Strong communication and stakeholder collaboration skills.