Senior Data Engineer

Key Responsibilities
•    Data Engineering & Integration: Design and build robust, reusable data pipelines (ETL/ELT) from diverse sources (on-prem, cloud, third-party) into Microsoft Fabric.
•    Data Transformation & Storage: Implement scalable data processing across medallion architecture layers, ensuring alignment with data modelling and storage standards.
•    Data Quality & Security: Enforce data quality checks, lineage, and role-based access controls using tools like Microsoft Purview and Azure RBAC.
•    Collaboration & Insights: Partner with analysts, scientists, and business stakeholders to deliver actionable insights and support advanced analytics and ML workloads.
•    Operational Excellence: Develop CI/CD pipelines (Azure DevOps), implement monitoring and alerting, and maintain documentation and training for stakeholders.
•    Governance & Leadership: Uphold architectural standards, mentor junior engineers, and contribute to continuous improvement and innovation.
 

Required Experience & Skills
•    7+ years in data engineering, BI, or database architecture roles.
•    Proven expertise in Microsoft Fabric, Azure Data Factory, Data Lake, SQL Server, and Power BI.
•    Strong coding skills in SQL, Python, and PySpark.
•    Experience with data integration (batch, streaming, event-driven) for structured, semi structured and unstructured data, data quality frameworks, and CI/CD practices.
•    Familiarity with Azure security tools (RBAC, Key Vault) and configuration management.
Desirable Qualifications
•    Certifications: Azure DP-700, Azure Data Engineer Associate, Power BI Data Analyst Associate.
•    Experience with Agile/SAFe, FHIR/OMOP data standards, and data modelling tools.
Personal Attributes
•    Strong leadership and mentoring capabilities, with collaboration focus.
•    Excellent communication and stakeholder engagement skills.
•    Passion for quality, innovation, and continuous learning.