Virtusa Corporation

Senior Software Engineer

Virtusa Corporation$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 2-5 years of experience in data engineering or a related role.
  • Proven experience with Agentic AI and Generative AI projects.
  • Strong knowledge of Generative AI technologies.
  • Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Hadoop).
  • Experience with SQL and NoSQL databases.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).

Responsibilities

  • Design and implement scalable data pipelines to support Agentic AI applications.
  • Collaborate with data scientists and AI specialists to integrate AI models into production environments.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Optimize data storage and retrieval processes for efficiency and performance.
  • Stay updated with the latest trends and advancements in Agentic AI and Generative AI.
  • Document data engineering processes and maintain clear communication with stakeholders.

Benefits

  • Comprehensive health insurance options.
  • Flexible work hours and remote work opportunities.
  • Professional development and training programs.
  • Collaborative work environment with a focus on innovation.
Full Job Description
Agentic AI Consultant - Data Engineer

Location: PCS NJ, Piscataway

Years of Experience: 2-5 Years

Job Summary: We are seeking a skilled Agentic AI Consultant with a strong background in Data Engineering. The ideal candidate will possess in-depth knowledge of Agentic AI and Generative AI technologies. This role involves designing, developing, and maintaining data pipelines and architectures that support AI-driven solutions.

Responsibilities:
  • Design and implement scalable data pipelines to support Agentic AI applications.
  • Collaborate with data scientists and AI specialists to integrate AI models into production environments.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Optimize data storage and retrieval processes for efficiency and performance.
  • Stay updated with the latest trends and advancements in Agentic AI and Generative AI.
  • Document data engineering processes and maintain clear communication with stakeholders.

Mandatory Skills:
  • Strong knowledge of Generative AI technologies.
  • Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Hadoop).
  • Experience with SQL and NoSQL databases.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Ability to work with large datasets and perform data analysis.

Preferred Skills:
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Understanding of data governance and compliance standards.
  • Strong problem-solving skills and attention to detail.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • 2-5 years of experience in data engineering or a related role.
  • Proven experience with Agentic AI and Generative AI projects.

About Virtusa Corporation

Virtusa Corporation is a global provider of digital business strategy, digital engineering, and information technology (IT) services and solutions. The company helps its clients transform their businesses through innovative technology solutions that enable them to improve customer engagement, increase operational efficiency, and drive revenue growth. Virtusa Corporation was founded in 1996 and is headquartered in Southborough, Massachusetts. The company has over 20,000 employees and operates in over 30 countries around the world. Virtusa Corporation is committed to sustainability and has received numerous awards for its environmental and social responsibility initiatives.
Learn more about Virtusa Corporation
Size
22,883 employees
Market Cap
$1.5 billion
Industry
Net Income
$44.6 million
Founded
1996
5 Year Trend
+22.3%
Revenue
$1.2 billion
NASDAQ

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