Wipro

Data Integration Engineer

Wipro$60K — $148K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years of experience in data engineering or related role
  • Proficiency in Python for data manipulation and automation
  • Strong understanding of Generative AI and its applications
  • Experience building scalable data pipelines
  • Familiarity with API development and data integration techniques
  • Knowledge of LLMs and prompt engineering concepts
  • Ability to document technical processes for team collaboration

Responsibilities

  • Design and implement scalable data pipelines for Generative Engine Optimization
  • Integrate data from various external sources to enhance AI models
  • Ensure quality and consistency of data for optimization initiatives
  • Develop API scripts for effective data extraction from multiple platforms
  • Create reusable API connectors with robust error handling
  • Collaborate with business teams to convert requirements into data solutions
  • Automate data processes to streamline operations and improve efficiency

Benefits

  • Comprehensive medical and dental benefits options
  • Disability insurance coverage
  • Generous paid time off including sick leave
  • Additional paid and unpaid leave options
Full Job Description
Job Title: Data Integration Engineer

City: Sunnyvale

State/Province: California

Posting Start Date: 7/10/26

Job Description:

Job Description

Position: Data Integration

Job Description:

1. Design, build, and maintain scalable data pipelines to ingest, transform, and serve data for Generative Engine Optimization workflows

2. Integrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiatives

3. Ensure data quality, schema validation, and consistency across all data sources feeding into Generative Engine Optimization models

4. Build and maintain API extraction scripts to pull data from internal and external sources relevant to Generative Engine Optimization

5. Develop reusable API connectors with proper authentication, rate limiting, and error handling

6. Liaise with business teams to gather requirements, understand Generative Engine Optimization use cases, and translate them into technical solutions

7. Write Python scripts to automate data extraction, transformation, and loading processes in support of Generative Engine Optimization pipelines

8. Apply working knowledge of LLMs and prompt engineering to enhance Generative Engine Optimization outcomes

9. Assist in evaluating and testing LLM outputs and AI-generated responses against Generative Engine Optimization benchmarks and quality metrics

10. Document all data workflows, pipeline designs, and integration patterns for team knowledge sharing

Mandatory Skills: Generative AI.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $148,500 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

About Wipro

Wipro Limited is an Indian multinational corporation that provides information technology, consulting and business process services. The company was founded in 1945 and is headquartered in Bengaluru, India. Wipro has operations in over 50 countries and employs over 191,000 people. The company's primary business is in the information technology sector, and it provides services such as application development and maintenance, digital strategy consulting, and data analytics.
Learn more about Wipro
Size
240,000 employees
Market Cap
$25.9 billion
Industry
Net Income
$101.4 billion
Founded
1945
5 Year Trend
+7.5%
Revenue
$614 billion
NASDAQ

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