Iris Software
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Noida · On-site · 7-10 Yrs · Oct 2
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
+ The organization provides exposure to diverse business areas, clients, and projects. Employees have opportunities to enhance their skills, participate in organizational initiatives
− Do more parity check in compensation.
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
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.
Responsibilities
- Design scalable Big Data solutions using Apache Spark, Hadoop, Azure Databricks, and modern data platform technologies.
- Define data processing architecture, transformation strategies, and engineering standards aligned with business objectives.
- Lead development of distributed data processing pipelines using Spark (Scala or PySpark) and Hadoop ecosystem technologies.
- Design and optimize SQL and Hive-based data processing solutions to improve performance and scalability.
- Architect and optimize Azure Databricks solutions supporting large-scale data engineering and analytics workloads.
- Design and implement data Lakehouse solutions leveraging Apache Hudi or Apache Iceberg.
- Establish data ingestion, transformation, validation, and reconciliation frameworks to improve data reliability.
- Drive performance tuning initiatives across Spark jobs, Databricks workloads, Hive queries, and Hadoop processing environments.
- Review data engineering solutions to ensure adherence to architecture, performance, and engineering standards.
- Troubleshoot complex data processing, performance, and platform issues through detailed root cause analysis.
- Mentor team members on Spark, Hadoop, Databricks, Hudi/Iceberg, SQL optimization, and Big Data engineering best practices.
- Collaborate with various teams and stakeholders to support end-to-end data platform delivery.
- Drive continuous improvement initiatives focused on scalability, performance, reliability, and operational efficiency.
- Demonstrates strong ownership while driving Big Data Engineering excellence.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Promotes quality-focused engineering through proactive validation, optimization, and continuous improvement.
- Applies strong analytical thinking to evaluate complex data engineering and platform challenges.
- Demonstrate adaptability while managing evolving technologies, data ecosystems, and business requirements.
- Communicates effectively regarding delivery status, risks, dependencies, and improvement opportunities.
- Maintains high attention to detail across data architecture, processing design, testing, and implementation activities.
- Encourages continuous improvement in data engineering practices and platform operations.
- Supports knowledge sharing and mentoring to strengthen team capabilities.
- Balances scalability, performance, reliability, and business priorities while driving delivery excellence.
Qualifications
- Location: Noida, Gurugram, Pune
- Mandatory Skills:
- Data Ingestion Tools (Sqoop), Hadoop (HDFS + YARN), Azure Databricks, Hadoop Ecosystem Fundamentals (HBase + Impala), Hive, Scala, Apache Hudi
- Additional Skills:
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Job application FAQ
Last updated 6 October 2026
- How do I apply for Big Data - Senior Engineer at Iris Software?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Iris Software may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Big Data - Senior Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Big Data - Senior Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Big Data - Senior Engineer role at Iris Software?
- This is a senior Big Data - Senior Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.