Iris Software
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Noida · On-site · 8-11 Yrs · Aug 20
Information Technology Support Services · 1001 to 5000 Employees · Edison, US
Iris Software is a professional software services organization offering high-quality solutions to businesses. It services the information technology requirements of companies ranging from the Fortune 100 to medium-sized firms by utilizing specialized domain knowledge, best-of-breed technologies, rapidly deployable proprietary frameworks/solutions and flexible engagement models. Founded in 1991, Iris is headquartered in Edison, New Jersey and employs highly talented professionals and domain experts. We are strategic partners to over 25 Fortune 100 companies and our consistent striving for high customer satisfaction has translated into long-standing relationships and a preferred-partner status with many of our customers. We have the knowledge to understand our customer’s problems, expertise to think of the best solution and skills to deliver these solutions to help our clients respond efficiently to the ever-growing needs of their businesses.
Hiring: Engineering
What employees say
+ - Opportunity to work on diverse technologies and products - Collaborative and helpful colleagues - Management listens to employee feedback - Stable company with long-term clients
− Incrementa should be looked upon.
More reviews on the company profile.
Interview experience · Associate Manager
The interview process consisted of 2 technical rounds, 2 managerial rounds, 1 client discussion, and 1 HR round. The entire process was fast, seamless, well-organized, and completed efficiently with clear communication t
Difficult difficulty · Pune · 249 reports
More interview insightsJob description
Overview
8+ years of experience in Data Engineering. 5+ years of hands-on experience with AWS data services. Robust proficiency in Python and/or Scala. Experience building ETL/ELT pipelines at scale. Robust SQL and data modeling expertise (OLAP, dimensional modeling, lakehouse).
Qualifications
- Robust SQL and data modeling expertise (OLAP, dimensional modeling, lakehouse).
- Hands-on experience with :
- o Spark / PySpark
- o Airflow or similar orchestration tools
- o REST APIs and microservices
- Solid understanding of IAM, encryption, networking, and cloud security best practices.
- Knowledge of Delta Lake, Iceberg, or Hudi.
- Leadership & Soft Skills
- Proven ability to lead engineering teams and drive architectural decisions.
- Robust stakeholder communication skills.
- Ability to balance delivery velocity with engineering excellence.
- Exposure to AI/ML pipeline integration.
- Mandatory Competencies
- Data Science and Machine Learning - Data Science and Machine Learning - Python
- Cloud - AWS - AWS S3, S3 glacier, AWS EBS
- Beh - Communication
- Programming Language - Scala - Scala
- Big Data - Big Data - Pyspark
- Big Data - Big Data - SPARK
- Programming Language - Python - Apache Airflow
- Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark
- Database - Database Programming - SQL
- Database - Oracle - Data Modelling
- Artificial Intelligence - AI Tools - GitHub Copilot
- Middleware - API Middleware - Microservices
- Agile - Agile - SCRUM
Nice to have
- AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics).
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