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 pipelines across on-premises and cloud platforms (SQL Server, Azure Synapse, Microsoft Fabric).
Implement Medallion architecture (Bronze, Silver, Gold layers) to enhance data quality and scalability.
Collaborate with Data Architecture, BI Engineers, and data source owners to deliver governed, reliable data solutions aligned with enterprise standards.
Minimum Requirements
3–5 years of experience in data engineering or similar technical role.
Strong proficiency in SQL, Python, PySpark, and C# for data processing and pipeline development.
Experience with Microsoft Fabric components (Lakehouse, Warehouse, Pipelines, Notebooks) and Azure data services (ADF, ADLS, Synapse, Databricks, Azure SQL).
Experience working with structured, semi-structured, and unstructured data; understanding of data governance, quality, and CI/CD processes.
Ideal Candidate Profile
Experienced in developing modular data pipelines using Medallion architecture within hybrid cloud environments.
Skilled in implementing monitoring, alerting, and data quality controls to ensure data reliability and governance compliance.
Collaborates effectively across teams to translate business requirements into technical data solutions supporting self-service BI and analytics.