Azure Fabric Data Engineer (Kolkata)

Azure Fabric Data Engineer (Kolkata)

19 Aug
|
Tata Consultancy Services
|
Kolkata

19 Aug

Tata Consultancy Services

Kolkata

Job Title: Senior Data Engineer / Azure Fabric Data Engineer

Location: Pan India

Exp: 6+years

Job Summary

We are seeking a highly skilled Senior Data Engineer with strong expertise in Microsoft Fabric (Mandatory), Azure Data Services, SQL Server, ETL Development, and Data Warehousing. The ideal candidate will be responsible for designing, developing, and maintaining enterprise-scale data ingestion and integration solutions while delivering multiple data engineering projects across Azure and SQL Server environments.

The candidate should possess hands-on experience with Microsoft Fabric, modern data platforms, data transformation frameworks, and Azure-based data integration solutions. Experience in moving data to or consuming data from Kraken will be a significant advantage.

Key Responsibilities

- Design, develop, and maintain enterprise-scale data ingestion and integration solutions using Microsoft Fabric, Azure, and SQL Server.
- Understand business data requirements and translate them into scalable data engineering solutions.
- Build, customize, and optimize ETL/ELT pipelines for data extraction, transformation, and loading.
- Design and maintain data models, data marts, and enterprise data warehouse solutions.
- Develop data integration frameworks to consume and process data from multiple sources.
- Manage and support existing SQL Server and Azure-based data repositories and ingestion platforms.
- Ensure successful delivery of multiple data engineering projects within defined scope, timelines, quality standards, and budgets.
- Work closely with business stakeholders, analytics teams, and data scientists to support reporting, analytics, and AI use cases.
- Implement change requests (CRs) and enhancements to existing data warehouses and data platforms.
- Troubleshoot, analyze, and resolve issues related to Azure, SQL Server, Fabric, and data integration processes.
- Monitor project progress,



identify risks, and proactively mitigate delivery challenges.
- Facilitate team collaboration, remove delivery blockers, and ensure smooth project execution.
- Support production deployments and ongoing operational activities for data engineering solutions.
- Collaborate with cross-functional teams to ensure data quality, reliability, security, and governance standards.

Required Skills & Experience

Mandatory Skills

- Strong hands-on experience with Microsoft Fabric (Mandatory).
- Experience in Azure Data Engineering and Data Integration solutions.
- Expertise in SQL Server, T-SQL, Stored Procedures, Performance Tuning, and Database Management.
- Strong ETL/ELT development experience.
- Experience with SSIS and Azure-based data ingestion frameworks.
- Knowledge of Data Warehousing concepts, Data Marts, and Dimensional Modeling.
- Experience in designing and supporting enterprise data pipelines.
- Robust troubleshooting and problem-solving skills.
- Experience handling multiple projects and stakeholder engagements simultaneously.

Preferred Skills

- Experience with:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake
- Azure SQL Database
- Power BI
- Experience moving data to or consuming data from Kraken.
- Knowledge of Agile delivery methodologies.
- Familiarity with Data Governance and Data Quality frameworks.

Desired Experience

- 8+ Years of Data Engineering experience.
- Strong experience in Azure Data Platform technologies.
- Experience delivering large-scale enterprise data integration projects.

Educational Qualifications

- Bachelor's Degree or equivalent work experience in:
- Computer Science
- Information Technology
- Engineering
- Related Discipline

Certifications (Preferred)

- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Azure Certifications
- Microsoft Power BI Certifications

📌 Azure Fabric Data Engineer (Kolkata)
🏢 Tata Consultancy Services
📍 Kolkata

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