Job DescriptionTCS Hiring for Azure Databricks

NExperience Range: - 06 To 10 Years (Mandatory)

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

NJob Locations: Anywhere in India

NJOB DESCRIPTION

nMust-Have Skills:

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

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

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- Design, develop, and optimize scalable batch and streaming data pipelines using Azure Databricks.
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- Develop data processingframeworks using PySpark and Spark SQL.
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- Implement Delta Lake-based storage solutions to ensure high reliability and data consistency.
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- Build and maintain Bronze, Silver, and Gold data layers within a Lakehouse architecture.
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- Ingest data from APIs, databases, Azure storage, and streaming platforms.
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- Develop scalable data models supporting analytics and reporting requirements.
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- Implement data quality,validation, and reconciliation processes.
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- Monitor and optimize Spark workloads for performance and cost efficiency.
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- Establish and support data governance practices through Unity Catalog and related solutions.
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- Orchestrate and integrate data workflows using Azure Data Factory, Airflow, and Databricks Workflows.
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- Collaborate with business and technical stakeholders to gather requirements and deliver enterprise-grade data solutions.
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nMinimum 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:

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- Candidate Name:
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- Email ID:
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- Phone Number:
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- Current Location (City):
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- Preferred Location (City):
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nSection 2: Educational Details:

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- Highest Regular Full‐Time Qualification
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- (Diploma / Graduation /Post Graduation / Others)
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- 10th Completion Year
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- 12th / Intermediate Completion Year
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- Graduation Completion Year
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- Post‐Graduation Completion Year (if applicable)
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nSection 3: Work Experience:

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- Current Company Name
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- Total Experience (in years)
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- Number of Companies Worked
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- Employment Timeline
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- (Example: Company A – 2021 to Present, Company B – 2019 to 2021)
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nSection 4: Compensation Details:

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- Current CTC (in LPA)
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- Expected CTC (in LPA)
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- Notice Period
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- (Immediate / 15 Days / 30 Days / 60+ Days)
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nSection 5: Documentation & Compliance (Yes / No):

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- Valid ID Proof Available (Aadhar & Pan Card): (Yes/No)
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- Educational Documents Available: (Yes/No)
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- Employment Documents Available: (Yes/No)
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- UAN Number Available: (Yes/No)
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📌 Azure Databricks (Pan India) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru