Data Integration and Platform Engineer

Tata Consultancy Services

Irving (TX)

On-site

USD 100,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage
Family Support: Parental Leaves
Insurance Options: Auto & Home
Commuter Benefits
Certification & Training Reimbursement
Time Off: Vacation & Holidays
Legal & Financial Assistance: 401K & 


Job summary

Tata Consultancy Services is seeking a skilled full-stack and data engineering professional in Irving, Texas. The role focuses on enterprise data integration platforms, Databricks and modern cloud technologies, with emphasis on .NET/C#, Angular, Python and API development to deliver scalable data solutions.

You will design RESTful APIs, build backend services, integrate front-end and back-end components, and support CI/CD and automation for reliable production deployments.

Qualifications

  • Experience with full-stack development and data engineering.
  • Proficiency in building data integration and ERP data acquisition.
  • Ability to design scalable RESTful APIs and backend services.
  • Experience with cloud technologies and modern data platforms.
  • Strong collaboration and communication skills.

Responsibilities

  • Build and scale an enterprise data integration platform including ERP data acquisition and scalable data pipelines.
  • Design and develop RESTful APIs, backend services, microservices and enterprise integration solutions.
  • Create modern web applications integrating front-end and back-end services.
  • Support engineering delivery via source control, CI/CD and infrastructure automation.
  • Develop scalable data pipelines and ETL/ELT processes.
  • Design ERP data acquisition workflows and support data synchronization with ERP systems.
  • Implement data quality, monitoring and observability for production data processes.
  • Contribute to reliable, scalable enterprise-wide data platform capabilities.
  • Collaborate with Infrastructure, CloudOps, QA, Security and business stakeholders.

Skills

Full-stack development
Data engineering
Enterprise data integration
Cloud technologies
API development
Angular
Python
SQL

Education

Bachelor of Computer Science

Tools

Databricks
REST APIs
Angular
TypeScript
Python
SQL
CI/CD
Microservices

Job description

Job Description
  • Full-stack development and data engineering experience; enterprise data integration platform engineering; Databricks and modern cloud technologies.
  • .NET / C# and API development.
  • Angular and full-stack development; Angular and TypeScript.
  • Python, SQL, and Databricks for scalable data pipelines, ETL/ELT processes, and data engineering solutions.
  • Data integration; ERP data acquisition; data synchronization tools; enterprise ERP systems; relational database platforms.
  • Data quality, monitoring, observability, reliability, and production data integration support.
  • Cloud-based, scalable enterprise applications and integration platforms.
  • Strong communication and collaboration skills; quick learning of new technologies; cross-functional teamwork.
Roles & Responsibilities
  • Build and scale an enterprise data integration platform; support ERP data acquisition, scalable data pipelines, integration services, APIs, backend services, and front-end components.
  • Design and develop RESTful APIs, backend services, microservices, and enterprise integration solutions.
  • Build modern web applications and integrate front-end and back-end services.
  • Support engineering delivery through source control, CI/CD, infrastructure automation, Agile practices, and automated deployments.
  • Develop scalable data pipelines, ETL/ELT processes, and data engineering solutions.
  • Design and build ERP data acquisition workflows; support adoption of data synchronization tools; support integrations with ERP systems and relational database platforms.
  • Implement data quality, monitoring, and observability solutions; troubleshoot and support production data integration processes.
  • Contribute to reliable, scalable, and sustainable enterprise-wide data platform capabilities.
  • Collaborate with Infrastructure, CloudOps, QA, Security, and business stakeholders; accelerate onboarding of new data sources and improve engineering efficiency.

Salary Range: $100,000-$120,000 a year

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, Ide ntity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications

BACHELOR OF COMPUTER SCIENCE

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