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Data bricks

Job

Tata Consultancy Services Limited

Remote

$115,000 Salary, Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/13/2026

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Job Description

Must Have Technical/Functional Skill Design, develop, and implement data pipelines and ETL processes using Azure services, with a focus on Azure Databricks, Azure Data Factory (ADF), Azure Functions, and Azure AI Search.
  • Leverage Python SDKs to build and optimize data processing and analysis tasks, ensuring high performance and scalability in data workflows.
  • Write and deploy Python applications that can run on Kubernetes, ensuring efficient containerization and orchestration of data processing tasks.
  • Implement and integrate Azure AI Search capabilities to enhance data accessibility and retrieval for analytics and business intelligence.
  • Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation Roles & Responsibilities 3+ years of experience in a data engineering role.
  • Strong experience with Azure services, particularly Azure Databricks, ADF, and Azure AI Search.
  • Proficiency in Python and its relevant libraries and Spark, with a focus on leveraging Python SDKs for data engineering tasks.
  • Experience writing and deploying Python applications, including familiarity with containerization and orchestration tools.
  • Experience working with diverse data formats and data storage solutions.
  • Familiarity with version control software (e.g., GitHub) and agile methodologies.
  • Strong problem-solving and analytical skills, with a keen attention to detail.
  • Excellent communication and collaboration abilities, with a proven track record of working effectively in teams.
This position is a hybrid role and will require the candidate to be in office 2-3 days a week.
Salary Range:
$100,000-$130,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support:
Maternal & Parental Leaves.
Insurance Options:
Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth:
Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off:
Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

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