Java + Spark

1 week ago

Noida, Uttar Pradesh, India Iris Software Inc. Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Why Join Iris?
Are you ready to do the best work of your career at one of
India's Top 25 Best Workplaces in IT industry
? Do you want to grow in an award-winning culture that
truly values your talent and ambitions
?

Join Iris Software — one of the
fastest-growing IT services companies
— where
you own and shape your success story
.

About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition,
"Build Your Future. Own Your Journey."
reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

  • Design and implement scalable data processing solutions using Apache Spark and Java.
  • Develop and maintain high-performance backend services and APIs.
  • Collaborate with data scientists, analysts, and other engineers to understand data requirements.
  • Optimize Spark jobs for performance and cost-efficiency.
  • Ensure code quality through unit testing, integration testing, and code reviews.
  • Work with large-scale datasets in distributed environments (e.g., Hadoop, AWS EMR, Databricks).
  • Monitor and troubleshoot production systems and pipelines.
  • Experience in Agile Development Process.
  • Excellent communication skills, problem solving and debugging and troubleshooting Skills.

Mandatory Competencies
Architecture - Architectural Patterns - Microservices

Programming Language - Java - Core Java (java 8+)

Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark

Tech - Unit Testing

Big Data - Big Data - Hadoop

Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift

Data Science and Machine Learning - Data Science and Machine Learning - Databricks

Agile - Agile - Extreme Programming

Beh - Communication and collaboration

Perks And Benefits For Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

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