Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL/ELT data pipelines using Medallion architecture (Bronze, Silver, Gold layers) to support data ingestion, transformation, and delivery.
Collaborate cross-functionally with Data Architecture, BI Engineers, and internal stakeholders to align data solutions with enterprise standards and business requirements.
Maintain and support hybrid data environments (on-premises and cloud) utilizing Microsoft Fabric, Azure Synapse Analytics, and SQL Server, including monitoring, data quality, governance, and documentation.
Minimum Requirements
3-5 years of experience in data engineering or similar technical roles.
Strong proficiency in SQL, Python, PySpark, and C# for developing and optimizing data pipelines.
Hands-on experience with Microsoft Fabric components (Lakehouse, Warehouse, Pipelines, Notebooks) and Azure data services (ADF, ADLS, Synapse, Databricks, Azure SQL).
Familiarity with CI/CD processes, version control, automated deployments, and pipeline-based DevOps practices.
Ideal Candidate Profile
Experienced in implementing modular, scalable data architectures specifically using the Medallion architecture.
Skilled in operating within fast-paced, cloud-based hybrid environments with a strong understanding of data governance, validation, and quality best practices.
Able to effectively collaborate with diverse teams including analysts, data scientists, and business partners to deliver governed and reliable data solutions.