Job Title: Senior Data Engineer
Location: Remote
Experience: 7 - 10 Years
Only CV's which are as per JD will be shortlisted
Role Purpose
We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms leveraging the Microsoft Fabric and Azure ecosystem. This role is critical in enabling data-driven decision-making by building efficient, reliable, and high-performance data solutions that support analytics, reporting, and advanced data use cases across the organization.
Key Responsibilities
Data Engineering & Development
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric
Develop and optimize data workflows using PySpark and SQL
Implement and manage Lakehouse architecture using the Medallion (Bronze, Silver, Gold) layers
Work with Azure Data Lake Storage (ADLS) and Delta Lake for scalable data storage and processing
Integrate data from multiple sources while ensuring data quality, consistency, and reliability
Collaboration & Enablement
Partner with BI developers and analysts to enable data models and reporting solutions
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions
Performance & Reliability
Monitor, troubleshoot, and optimize data pipelines and system performance
Ensure high availability and scalability of data platforms
Governance & Compliance
Implement and enforce data governance, security, and compliance best practices
Ensure proper data lineage, cataloging, and documentation
Additional Responsibilities (Senior Level)
Lead the design and architecture of scalable data platforms and solutions
Define and enforce data engineering standards, frameworks, and best practices
Mentor junior data engineers and conduct code reviews to ensure quality and performance
Optimize large-scale data processing and improve system efficiency and cost optimization
Drive adoption of Microsoft Fabric and modern data engineering practices across teams
Required Skills & Qualifications
5+ years of experience in Data Engineering
Strong hands-on experience with:Azure Data Factory (ADF)
Microsoft Fabric
PySpark and SQL
Azure Data Lake Storage (ADLS)
Delta Lake
Solid understanding of data modeling, ETL/ELT concepts, and Lakehouse architecture
Experience with Medallion architecture (Bronze, Silver, Gold layers)
Strong problem-solving and performance optimization skills
Experience working in cloud-based data platforms (Azure preferred)
Preferred Qualifications
Experience with Power BI or other BI tools
Familiarity with data governance and security frameworks
Exposure to CI/CD pipelines for data engineering workflows
Experience working in Agile/Scrum environments
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