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Data- Senior Engineer

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Posted On: 10 Apr 2024

Location: Noida, UP, India

Company: Iris Software

Why Join Us?
Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations?

It’s happening right here at Iris Software.

 

About Iris Software
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 at Iris
Be valued, be inspired, be your best.
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.
Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version.

Job Description

We are seeking a Senior Data Engineer with 6-8 years of experience to join our dynamic team. The ideal candidate will have expertise in PySpark, Python, SQL, Oracle, and AWS services, particularly S3 and Lambda. Additionally, experience with large-scale data processing frameworks such as EMR, Athena, and Glue is highly desirable.

Must Haves:

  • Expertise in PySpark, Python, and SQL
  • Experience with AWS services like EMR, Athena, Glue, and Redshift
  • Proficiency in Oracle database management, including stored procedures
  • Strong understanding and experience with AWS services, particularly S3 and Lambda
  • Ability to work with large-scale data processing frameworks such as EMR, Athena, and Glue
  • Ability to optimize data workflows and perform performance tuning
  • Can directly work with business users
  • Can work independently without much supervision
  • Possess good communication skills
  • Ability to troubleshoot and resolve issues in a timely manner

Good to Have:

  • Familiarity with Redshift for data warehousing
  • Exposure on CI/CD Pipelines.

Mandatory Competencies

Python - Python
Big Data - PySpark
Database - SQL
Beh - Communication
Cloud - AWS

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