TCS Hiring for Azure Databricks

Experience Range: - 06 To 10 Years (Mandatory)

(Note: Candidates below 6 years of IT experience shall not be considered)

Job Locations : Anywhere in India

Must-Have Skills:

- Strong hands-on experience with Azure Databricks
- Expertise in Apache Spark (PySpark) and Spark SQL
- Strong programming skills in Python and SQL
- Experience with Delta Lake including ACID transactions and schema evolution
- Hands-on experience in ETL/ELT pipeline development
- Strong understanding of Lakehouse Architecture
- Experience building and maintaining Medallion Architecture (Bronze, Silver, Gold) data layers
- Experience with batch and streaming data processing
- Experience with Azure Data Factory (ADF) and Azure Data Engineering ecosystem
- Solid understanding of Data Modeling and Analytics data structures
- Experience with Unity Catalog or Data Governance frameworks
- Experience in performance tuning, query optimization, partitioning, and caching
- Data Engineering experience
- Azure Databricks experience

Good-to-Have Skills:

- Git, Azure DevOps, GitHub Actions
- CI/CD implementation and deployment automation
- Terraform (Infrastructure as Code)
- Docker and Kubernetes
- Airflow
- Kafka or Azure Event Hub
- Power BI or Tableau
- Databricks Workflows and Job Orchestration
- Cluster Management and Optimization
- Experience with Delta Table features such as MERGE, UPSERT, and Time Travel
- BFSI domain experience

Key Responsibilities:

- Design, develop, and optimize scalable batch and streaming data pipelines using Azure Databricks.
- Develop data processing frameworks using PySpark and Spark SQL.
- Implement Delta Lake-based storage solutions to ensure high reliability and data consistency.
- Build and maintain Bronze, Silver, and Gold data layers within a Lakehouse architecture.
- Ingest data from APIs,



databases, Azure storage, and streaming platforms.
- Develop scalable data models supporting analytics and reporting requirements.
- Implement data quality, validation, and reconciliation processes.
- Monitor and optimize Spark workloads for performance and cost efficiency.
- Establish and support data governance practices through Unity Catalog and related solutions.
- Orchestrate and integrate data workflows using Azure Data Factory, Airflow, and Databricks Workflows.
- Collaborate with business and technical stakeholders to gather requirements and deliver enterprise-grade data solutions.

Minimum Qualification:

15 years of Full Time Education

Interested 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:

Section 1: Basic Details:

- Candidate Name:
- Email ID:
- Phone Number:
- Current Location (City):
- Preferred Location (City):

Section 2: Educational Details:

- Highest Regular Full‑Time Qualification
- (Diploma / Graduation / Post Graduation / Others)
- 10th Completion Year
- 12th / Intermediate Completion Year
- Graduation Completion Year
- Post‑Graduation Completion Year (if applicable)

Section 3: Work Experience:

- Current Company Name
- Total Experience (in years)
- Number of Companies Worked
- Employment Timeline
- (Example: Company A – 2021 to Present, Company B – 2019 to 2021)

Section 4: Compensation Details:

- Current CTC (in LPA)
- Expected CTC (in LPA)
- Notice Period
- (Immediate / 15 Days / 30 Days / 60+ Days)

Section 5: Documentation & Compliance (Yes / No):

- Valid ID Proof Available (Aadhar & Pan Card): (Yes/No)
- Educational Documents Available: (Yes/No)
- Employment Documents Available: (Yes/No)
- UAN Number Available: (Yes/No)

📌 Azure Databricks (Pan India) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru