Azure Data Engineer
Bengaluru, Karnataka, India · Full Time
Be the first to apply
- Experience
- 4–12 yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 hours ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Any graduate is eligible to apply for this position.
- Resume
- Required to apply
Where you'll work
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
About the Company
Tata Consultancy Services (TCS) is a global leader in IT and business solutions, boasting over 612,000 employees worldwide across 55 countries with a revenue of USD 29.08 billion in 2023-24. Offering services spanning Cloud Infrastructure, Cognitive Business Operations, Cybersecurity, Consulting, Enterprise Solutions, IoT/Digital Engineering, and Data & Analytics, TCS is a top employer and recognized repeatedly among India’s Most Respected Companies.
Job Event Details
We are organizing a face-to-face walk-in interview drive to onboard skilled Azure Data Engineers. Join us in Bangalore on Saturday, 22nd August 2026, from 9 AM to 2 PM. This drive aims to recruit candidates whose expertise aligns with our technical needs.
Key Responsibilities and Skills
- Design and develop data pipelines using Azure Data Factory and Azure Databricks.
- Create and manage ETL/ELT workflows to transform data efficiently.
- Model data and implement data warehousing solutions adhering to best practices.
- Execute data migration and integration tasks ensuring data quality management.
- Leverage big data technologies such as Apache Spark, PySpark, Delta Lake, and Hadoop ecosystem.
- Write code proficiently in programming languages including Python, SQL, PySpark, and optionally Scala.
- Work with various database systems: SQL Server, Azure SQL Database, PostgreSQL, Oracle, and NoSQL (Cosmos DB).
- Implement DevOps processes including Azure DevOps, CI/CD pipelines, Git version control, and Infrastructure as Code (ARM Templates or Terraform).
- Monitor and maintain Azure cloud services including Azure Key Vault, Azure Functions, Azure Monitor, and Blob Storage.
Required Qualifications and Experience
- Possess a Bachelor’s or Master's degree in Computer Science, Information Technology, or a related discipline.
- Have 4 to 12 years of relevant experience in data engineering roles focused on Azure Cloud technologies.
- Demonstrate strong practical experience with Azure Data Factory, Databricks, and Synapse Analytics.
- Expertise in SQL, Python, and PySpark is essential.
- Experience in processing large-scale data and deploying cloud-based data solutions.
Minimum education
Bachelor's Degree
Industry
IT Services & Consulting