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

JOB DESCRIPTION

Must-Have Skills:

Solid 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 Strong 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