Data Engineer

Dear Job Seekers,

Greetings from TATA Consultancy Services!!!

Hope you and your family are safe and well.

We are conducting face to face Interview for (Azure Fabric/ PL/SQL/Databricks) skill sets

If interested Kindly revert with your updated CV for further process with TCS.

Walk In Drive Date: 31st Jan 2026 (Saturday), Hyderabad.

Registration Time: 9.00 AM 12.30 PM

Venue-

TCS Deccan Park,

Plot No.1, Hitech City Main Rd,

Software Units Layout, HUDA Techno Enclave,

Madhapur, Hyderabad,

Telangana, .

Role- AZURE Data Engineer

Experience- 4 to 10 Years

Location- Hyderabad

Job Title

AZURE Data Engineer

Required Skill Sets:-

• Strong experience in Azure Cloud-based data engineering and solution development.
• Hands-on experience in design, development, and implementation using Microsoft Fabric, Azure Data Analytics Service (Azure Data Factory ADF, Azure Linked Services, Data Lake, Azure Synapse, Azure SQL, and Databricks) for Data Warehousing and Business Intelligence solutions for data transformations.
• Involvement in end-to-end data pipeline design to extract data from diverse sources, transform it into suitable formats, and load it into the data warehouse or analytical systems.
• Hands-on expertise in data ingestion, transformation, orchestration, and analytics using Azure services.
• Hand-on experience in writing optimized SQL/Advanced SQL queries on MS Azure Synapse Analytics
• Conceptual knowledge of data and analytics, such as dimensional modelling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data.
• Continuously monitor and fine-tune data pipelines and processing workflows to enhance overall performance and efficiency, considering large-scale data sets.
• Collaboration with architects and analysts to deliver scalable data solutions and create comprehensive technical solutions and documentation
• Strong focus on performance optimization, security, and compliance in Azure data projects.
• Experience in working within Agile delivery environments and DevOps-based deployment models.

Key words should be there in Resume:-

Senior Azure Data Engineer, Azure, Data Engineer, Azure Data Factory, Databricks, Synapse, ADLS, Azure SQL, Power BI, Data Lake, Data Pipeline, Python, PySpark, SQL, DevOps, CI/CD, Cloud, ETL, Data Warehouse, Data Migration

Technical/Functional Skills -MUST HAVE SKILLS

• Strong hands-on experience with Azure Data Platform components , including:
• Azure Data Factory (ADF) pipelines, triggers, linked services, data flows
• Azure Databricks PySpark, Delta Lake, notebooks
• Azure Synapse Analytics data warehouse design and optimization
• Azure Data Lake Storage (ADLS) hierarchy, partitions, and access control
• Azure SQL Database / Managed Instance
• Excellent proficiency in Python , PySpark , and SQL for data transformations.
• Experience with data ingestion (batch and streaming) from multiple sources.
• Exposure to DevOps practices , CI/CD , and Infrastructure-as-Code (Terraform / ARM templates).
• Knowledge of Azure Security , IAM , and networking fundamentals .
• Experience in data lakehouse design , ETL/ELT pipelines , and data modeling .
• Understanding of cost optimization , monitoring , and logging in Azure (Monitor, Log Analytics).
• Familiarity with containerization (Docker, Kubernetes, AKS) preferred.

Secondary Skills

• Familiarity with Power BI or other visualization tools for analytics layer.
• Exposure to Informatica , ADF Mapping Data Flows , or similar ETL tools.
• Knowledge of data quality, data cataloguing , and governance frameworks (Purview).
• Understanding of Agile methodologies and sprint-based delivery.
• Basic awareness of machine learning workflows (Databricks ML, Azure ML).

Responsibilities

• Design and build scalable data pipelines and ETL workflows on Azure.
• Develop data ingestion, transformation, and orchestration solutions using ADF , Databricks , and Synapse .
• Collaborate with solution architects and business stakeholders to translate data requirements into technical solutions.
• Implement data Lakehouse and warehouse architectures for analytics and reporting.
• Optimize existing pipelines for performance, cost efficiency, and maintainability .
• Manage data integration , data quality , and error-handling mechanisms .
• Support cloud migration projects and ensure alignment with architectural standards.
• Apply security best practices , including RBAC, Key Vault, and managed identities.
• Participate in CI/CD pipeline setup , DevOps integration, and automated deployments.
• Troubleshoot production issues and perform root cause analysis for data failures.
• Document technical design, workflows, and best practices for knowledge sharing.
• Collaborate with cross-functional teams to deliver high-quality, reliable, and compliant data solutions.

Eligibility Criteria:

Minimum 15 years of regular education (10th + 12th + 3 years graduation)

BE/B.Tech/MCA/M.Sc/MS with minimum 4 years of relevant experience post Qualification IT- Experience.

B.Sc/BCA Graduates with minimum 4.5 years of relevant experience post qualification IT Experience.

Only Full Time courses would be considered.

Things to carry for interview:

1 copy of an updated resume, Government ID proof(and photocopy), 1 passport size photo, TCS Application Form.