Iris Software
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Noida · On-site · 1-3 Yrs · Sep 14
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
Why Join Iris Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions Join Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.
Responsibilities
- Mandatory Skills: PySpark,Apache Kafka,Databricks Workflows,Delta Lake on Databricks
- Design scalable data engineering solutions using PySpark and modern distributed data processing frameworks.
- Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives.
- Design and optimize Snowflake or Delta Lake on Databricks solutions to support enterprise-scale data platforms.
- Lead implementation of high-performance batch and streaming data pipelines.
- Design and optimize event-driven data architectures using Apache Kafka or Amazon Kinesis.
- Define data streaming standards, integration frameworks, and scalable processing patterns.
- Architect workflow orchestration solutions using Apache Airflow or Databricks Workflows.
- Establish monitoring, scheduling, and operational controls for reliable pipeline execution.
- Drive data quality, validation, reconciliation, and governance practices across data engineering solutions.
- Design data engineering solutions following modern Lakehouse architecture principles, data observability practices, and platform engineering standards to improve scalability, reliability, and operational visibility.
- Drive development of business-focused data products by improving data quality, discoverability, usability, documentation, and trusted data consumption across analytical platforms.
- Promote responsible use of AI-assisted engineering capabilities to improve development productivity, testing, documentation, and engineering quality.
- Review data pipeline designs and implementations to ensure adherence to engineering, scalability, and performance standards.
- Troubleshoot complex data processing, workflow, and streaming platform issues through detailed root cause analysis.
- Mentor team members on PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices.
- Collaborate with various teams and stakeholders to support end-to-end data platform delivery.
- Demonstrates strong ownership while driving 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.
- Apply 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, pipeline 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.
- Promotes innovation by adopting modern data engineering practices, platform engineering principles, and AI-assisted development approaches to improve engineering productivity and solution quality.
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Job application FAQ
Last updated 21 September 2026
- How do I apply for Databricks - 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 Databricks - 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 Databricks - 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 Databricks - Engineer role at Iris Software?
- This is a mid-level Databricks - Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.