Posted 30 August, 2026
Azure Data Engineer with Fabric
Tata Consultancy Services
400001, MH, IN
Full Time
Reference: 271c8788e131d6d4
Job Description
TCS Hiring for Azure Data Engineer with Fabric
\nExperience Range: - 06 To 10 Years (Mandatory)
\n(Note: Candidates below 6 years of IT experience shall not be considered)
\nJOB LOCATION: Mumbai
\nJOB DESCRIPTION
\nKey Responsibilities:
\n- \n
- Design and develop end-to-end data engineering solutions using Microsoft Fabric (Dataflows Gen2, Pipelines, Lakehouse, OneLake). \n
- Build and manage data ingestion pipelines using Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, Event Hubs. \n
- Develop Notebooks using PySpark/Spark SQL for data transformation and validation. \n
- Implement and optimize Lakehouse architectures using Delta/Parquet formats. \n
- Create and maintain Semantic Models in Fabric for reporting and BI consumption. \n
- Implement secure access using RBAC, Key Vault, Managed Identity, and follow best practices for PII protection. \n
- Improve performance through partitioning, indexing, and workload tuning within Fabric. \n
- Build CI/CD pipelines using Git & Azure DevOps for data engineering workflows. \n
- Collaborate with business, analytics, and architecture teams to deliver scalable data solutions. \n
Required Skills & Experience:
\n- \n
- Experience in Data Engineering. \n
- Strong hands-on experience with Microsoft Fabric (mandatory). \n
- Proficiency in Azure Data Services: ADLS Gen2, ADF/Synapse, Azure SQL. \n
- Expertise in SQL, PySpark, Spark SQL, and Delta Lake. \n
- Experience with Pipelines, Dataflows Gen2, Lakehouse, Notebooks in Fabric. \n
- Understanding of data modeling, data warehousing, and semantic layer design. \n
- Working knowledge of DevOps practices, Git, CI/CD pipelines. \n
- Experience in data governance, Purview, lineage, and metadata management. \n
- Strong understanding of security: RBAC, Key Vault, encryption, PII handling. \n
Good to Have Skills:
\n- \n
- Certifications: DP‑203 (Azure Data Engineer) or DP‑600 (Fabric Analytics Engineer). \n
- Experience with Power BI (DAX, RLS, semantic model optimization). \n
- BFSI/Financial domain experience. \n
- Experience with Databricks or Synapse Spark environments. \n
Minimum Qualification:
\n15 years of Full Time Education
\nInterested candidates kindly share your updated resume to [email protected] along with filling the following details to maximize your chances of getting calls from TCS. The details are as follows:
\nSection 1: Basic Details:
\n- \n
- Candidate Name: \n
- Email ID: \n
- Phone Number: \n
- Current Location (City): \n
- Preferred Location (City): \n
Section 2: Educational Details:
\n- \n
- Highest Regular Full‑Time Qualification \n
- (Diploma / Graduation / Post Graduation / Others) \n
- 10th Completion Year \n
- 12th / Intermediate Completion Year \n
- Graduation Completion Year \n
- Post‑Graduation Completion Year (if applicable) \n
Section 3: Work Experience:
\n- \n
- Current Company Name \n
- Total Experience (in years) \n
- Number of Companies Worked \n
- Employment Timeline \n
- (Example: Company A – 2021 to Present, Company B – 2019 to 2021) \n
Section 4: Compensation Details:
\n- \n
- Current CTC (in LPA) \n
- Expected CTC (in LPA) \n
- Notice Period \n
- (Immediate / 15 Days / 30 Days / 60+ Days) \n
Section 5: Documentation & Compliance (Yes / No):
\n- \n
- Valid ID Proof Available (Aadhar & Pan Card): (Yes/No) \n
- Educational Documents Available: (Yes/No) \n
- Employment Documents Available: (Yes/No) \n
- UAN Number Available: (Yes/No) \n