Data Engineer/Analyst

Data Pipeline Development & Platform Support

• Design, build, and maintain scalable ETL/ELT pipelines that ingest data from multiple sources including databases, APIs, and flat files.
• Help evolve the organization's data platform as pipelines transition to modern Azure-based architectures and Microsoft Fabric environments.
• Develop reliable data workflows with strong scheduling, monitoring, and recovery processes.

Data Modeling, Quality & Governance

• Identify and resolve data quality issues through validation checks, reconciliation logic, and monitoring processes.
• Design and maintain structured data models and curated datasets that enable consistent metrics and reporting.

Analytics & Reporting

• Develop and maintain interactive dashboards and reporting solutions using Power BI and other BI tools.
• Support both modern reporting solutions and operational reporting environments where required.

• 6+ years of experience working across data analytics, data engineering, or BI development.
• Strong experience building and supporting ETL/ELT pipelines and production data workflows.
• 6+ years of experience creating dashboards and analytics solutions using Power BI.
• Experience working with modern analytics platforms, including Microsoft Fabric or similar technologies.
• Experience implementing CI/CD practices for data pipelines, datasets, or analytics assets.
• Proficiency with SQL and at least one programming language used for data analysis or transformation (Python, R, DAX, etc.).

Technology Environment

• SQL Server and DB2
• SSIS and Azure Data Factory pipelines
• Power BI and SSRS reporting
• Data integrations from APIs, flat files, databases, and cloud systems