Senior Data Engineer

Fragomen; Ernakulam; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Health insurance

Remote work options

Job summary

Fragomen is seeking an experienced Senior Data Engineer in Kerala to design, architect, and optimize scalable data platforms using Microsoft Fabric. The role focuses on building enterprise-grade Lakehouse and Data Warehouse solutions, following Medallion architecture, and developing robust data pipelines from SQL Server on-prem sources.

You will mentor engineers, drive best practices, and partner with Product/BI leaders to evolve the analytics platform, ensuring governance, security, and cost

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, or equivalent experience.
• Strong communication and collaboration with cross-functional teams.
• Ability to mentor engineers and drive best practices.

Responsibilities

• Architect and implement end-to-end Lakehouse and Data Warehouse solutions using Microsoft Fabric
• Design and implement enterprise-grade Lakehouse and Data Warehouse solutions following the Medallion Architecture
• Establish and enforce data engineering standards for data modelling, pipelines, naming conventions, security, and lifecycle management
• Lead delivery of complex, high-impact data initiatives, including large-scale ingestion, near-real-time pipelines, and performance-optimized analytics workloads
• Ensure the platform meets enterprise requirements for scalability, reliability, cost efficiency, and performance
• Champion data governance & security (Purview classifications, RBAC/ABAC, PII handling, row-level/object-level security).
• Design and enforce CI/CD strategies across environments; orchestrate releases and incident/problem management.
• Act as a trusted advisor to Product, BI, and Analytics leaders on data strategy, SLAs, and roadmap planning

Job description

We are seeking an experienced Senior Data Engineer to design, architect, and optimize scalable data platforms using Microsoft Fabric. The role focuses on building enterprise-grade Lakehouse and Data Warehouse solutions following the Medallion architecture, developing robust data pipelines from SQL Server (on-prem) sources, and enabling analytics and reporting at scale. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively with cross-functional team. You’ll mentor engineers, drive best practices, and partner with product/BI leaders to evolve the analytics platform.

Key Responsibilities: -

• Architect and implement end-to-end Lakehouse and Data Warehouse solutions using Microsoft Fabric
• Design and implement enterprise-grade Lakehouse and Data Warehouse solutions following the Medallion Architecture
• Establish and enforce data engineering standards for data modelling, pipelines, naming conventions, security, and lifecycle management
• Lead delivery of complex, high-impact data initiatives, including large-scale ingestion, near-real-time pipelines, and performance-optimized analytics workloads
• Ensure the platform meets enterprise requirements for scalability, reliability, cost efficiency, and performance
• Champion data governance & security (Purview classifications, RBAC/ABAC, PII handling, row-level/object-level security).
• Design and enforce CI/CD strategies across environments; orchestrate releases and incident/problem management.
• Act as a trusted advisor to Product, BI, and Analytics leaders on data strategy, SLAs, and roadmap planning

Technical Skill: -

• Bachelor’s or Master’s degree in Computer Science, IT, or equivalent experience.
• 5 - 8+ years of experience in data engineering and modern data platforms
• Proven hands-on expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows, and Semantic Models
• Strong background in SQL Server and T-SQL, with experience integrating on-premises and cloud data sources
• Deep understanding of modern data architecture patterns, including Medallion Architecture, CDC, and SCD modelling
• Strong track record in data governance, security, DevOps, and cost optimization
• Ability to communicate complex technical concepts to executive and non-technical stakeholders
• Azure experience preferred, exposure to other cloud platforms (AWS, GCP) is a plus
• Nice to have Certifications like DP-600, DP-203, AZ-305