FAQs
What is the primary responsibility of the Data Informatica role?
The primary responsibility of the Data Informatica role is to design and develop high-quality and high-performance MicroServices and Data Pipelines, as well as ETL pipelines using various technologies such as Informatica and AWS services.
What technologies will I be working with in this position?
In this position, you will work with technologies including Informatica Power Center, Informatica Cloud, AWS Glue, Spark, Python, Kafka, and other AWS services like API Gateway, Lambda, DynamoDB, and ElasticSearch.
Is experience in healthcare relevant for this position?
Yes, experience in healthcare is considered a plus for this position.
What qualifications are necessary for this role?
Necessary qualifications include extensive experience with Informatica toolset for ETL development, strong SQL skills, proficiency with Relational Databases, and experience with AWS services.
Will there be opportunities for professional development?
Yes, Virtusa emphasizes professional and personal development, providing team members with opportunities to work on exciting projects and technologies throughout their career.
How does the company approach teamwork and collaboration?
Virtusa values collaboration and fosters a team environment, encouraging great minds to nurture new ideas and foster excellence.
Is there a focus on performance monitoring in this role?
Yes, the role includes a strong focus on performance monitoring and ensuring SLAs for ETL jobs are met.
What is the work environment like at Virtusa?
Virtusa promotes a collaborative and dynamic work environment, where teamwork and quality of life are prioritized alongside professional growth.
Will I be involved in building and supporting ETL batch processes?
Yes, building and supporting ETL batch processes, including delta and full loads, is part of the responsibilities for this role.
Are there opportunities for feedback during the development process?
Yes, the position involves consulting with peers for feedback during testing stages to ensure high-quality outcomes.