Iris Software Databricks Engineer Jobs 2026 | Noida
Iris Software Databricks Engineer Jobs 2026 | Noida
Iris Software Databricks Engineer Jobs 2026 is an opportunity for technology professionals interested in data engineering, scalable data pipelines, cloud data platforms, and analytics solutions. Iris Software is hiring for the Databricks – Engineer position in Noida, Uttar Pradesh, India.
The role focuses on developing and maintaining data pipelines using PySpark, building data solutions with Snowflake or Delta Lake on Databricks, implementing streaming workflows, and supporting enterprise data platforms. Candidates with experience in PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, and Snowflake should review the requirements and responsibilities before applying.
About Iris Software
Iris Software is an IT services company focused on becoming its clients’ trusted technology partner and helping technology professionals realize their potential. The company has more than 4,300 associates across India, the United States, and Canada.
Iris Software works with enterprise clients across financial services, healthcare, transportation and logistics, and professional services. Its technology capabilities include Application and Product Engineering, Data and Analytics, Cloud, DevOps, Data and MLOps, Quality Engineering, and Business Automation.
The company’s work includes complex, mission-critical applications and technology-enabled transformation initiatives. Its vision emphasizes trusted client partnerships and providing professionals with opportunities to develop their skills and careers.
Why Join Iris Software?
Iris Software promotes the employee value proposition “Build Your Future. Own Your Journey.” The company describes its culture as one that values employee potential, individual contributions, and career ownership.
Employees are offered opportunities to work on technology projects, participate in continuous learning, receive mentorship, and pursue personalized career development. Iris also emphasizes collaboration, professional growth, and meaningful contributions to client projects.
For candidates interested in data engineering, this opportunity provides exposure to modern data technologies and enterprise data platform initiatives. The company’s stated culture focuses on learning, ownership, and professional development.
Iris Software Databricks Engineer – Job Overview
| Company | Iris Software |
| Role | Databricks – Engineer |
| Qualification | Not specified in the supplied job description |
| Experience | Not specified in the supplied job description |
| Eligible Batch | Not specified |
| Location | Noida, Uttar Pradesh, India |
| Posted On | 28 October 2026 |
| Salary | Not disclosed |
| Job Type | Not specified |
| Work Mode | Not specified |
| Mandatory Skills | PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, Snowflake |
Job Description
Iris Software is looking for a Databricks Engineer to develop and maintain scalable data engineering solutions. The position involves building data pipelines, implementing ingestion and transformation workflows, and supporting analytical and operational data requirements.
The engineer will work with technologies such as PySpark, Snowflake, Delta Lake on Databricks, Apache Kafka, Amazon Kinesis, Apache Airflow, and Databricks Workflows. The role also includes monitoring data processing jobs, performing data quality checks, troubleshooting pipeline failures, and supporting testing and production activities.
The position emphasizes reliable data products, accurate and consistent datasets, technical documentation, collaboration, and the use of modern data engineering practices. Engineers are also expected to use AI-assisted development tools responsibly while following organizational engineering standards.
Mandatory Skills for Databricks Engineer
The job description identifies the following technologies as mandatory skills:
- PySpark: Develop scalable data pipelines and distributed data processing solutions.
- Apache Kafka: Support event-driven data integration and streaming workflows.
- Databricks Workflows: Configure and maintain workflow orchestration and scheduled processing.
- Delta Lake on Databricks: Build and maintain data solutions for enterprise data platforms.
- Snowflake: Develop and maintain data solutions that support enterprise data platform requirements.
Important: These are the mandatory skills explicitly listed in the supplied job description. The posting does not specify a required degree, graduation batch, or years of experience.
Key Responsibilities
As a Databricks Engineer at Iris Software, the responsibilities include:
- Data Pipeline Development: Develop and maintain scalable data pipelines and data processing solutions using PySpark.
- Data Ingestion and Transformation: Design and implement ingestion, transformation, and processing workflows for analytical and operational data requirements.
- Enterprise Data Platforms: Build and maintain data solutions using Snowflake or Delta Lake on Databricks.
- Batch Processing: Develop batch data processing pipelines using modern data engineering practices.
- Near Real-Time Processing: Develop near real-time data processing solutions to support business and operational needs.
- Event-Driven Integration: Implement data integration solutions using Apache Kafka or Amazon Kinesis.
- Streaming Workflows: Develop reliable and scalable data streaming workflows for data movement across systems.
- Workflow Orchestration: Configure and maintain orchestration solutions using Apache Airflow or Databricks Workflows.
- Job Monitoring: Monitor and support scheduled data processing jobs to ensure successful execution and operational stability.
- Data Validation: Perform validation, reconciliation, and quality checks to maintain data accuracy and consistency.
- AI-Assisted Engineering: Use AI-assisted engineering tools, code generation, and developer productivity solutions to improve efficiency while following engineering standards.
- Data Products: Contribute to data quality, metadata, documentation, and business-ready datasets that support trusted data consumption.
- Troubleshooting: Investigate data pipeline failures, workflow issues, and processing bottlenecks through root cause analysis.
- Testing and Deployment: Support testing, deployment, and production support activities for data engineering solutions.
- Documentation: Maintain technical documentation, workflow definitions, and operational procedures.
- Collaboration: Work with teams and stakeholders to support data platform and analytics initiatives.
Behavioral Competencies
Iris Software expects candidates to demonstrate ownership, accountability, collaboration, analytical thinking, and a quality-first mindset. The role requires professionals who can contribute to reliable and scalable data engineering solutions while working effectively with teams and business stakeholders.
- Ownership: Demonstrate accountability while delivering high-quality data engineering solutions.
- Collaboration: Work effectively with different teams and business stakeholders to support smooth delivery.
- Quality Mindset: Prioritize quality while developing scalable and reliable data processing solutions.
- Problem Solving: Apply analytical and problem-solving skills to resolve data engineering and platform challenges.
- Adaptability: Show willingness to learn evolving data engineering technologies and practices.
- Communication: Share project progress, risks, and dependencies proactively and clearly.
Eligibility Criteria
The supplied job description does not provide a specific educational qualification, eligible graduation batch, or minimum years of experience for this Databricks Engineer opening.
However, applicants should carefully review the mandatory skills listed in the posting and assess their experience with PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, and Snowflake. Candidates should also be prepared to demonstrate their ability to develop data pipelines, troubleshoot processing issues, maintain data quality, and collaborate with stakeholders.
Before applying, check the official job page for any additional education, experience, location, or employment requirements that may be listed in the application portal.
Salary Details
The salary package for the Iris Software Databricks Engineer position in Noida has not been disclosed in the supplied job description. The posting does not provide a confirmed annual CTC, monthly salary, bonus, or compensation range.
Applicants should confirm the salary, benefits, and compensation structure directly with Iris Software during the recruitment process. Any salary estimate from an unofficial source should be treated as indicative rather than confirmed for this specific opening.
Perks and Benefits at Iris Software
Iris Software states that its benefits are designed to support employees’ financial, health, and well-being needs and contribute to their professional and personal growth. The company describes its benefits offering as part of a personalized employee experience for Irisians.
To review the company’s benefits information, visit the official Iris Software employee benefits page. Specific benefits and eligibility should be confirmed through the company.
Why Should You Apply for This Role?
This Databricks Engineer opportunity may be relevant for professionals who want to work on enterprise data platforms, scalable data processing, streaming pipelines, and analytics initiatives. The role covers multiple areas of data engineering, including ingestion, transformation, orchestration, data validation, troubleshooting, and production support.
Working with technologies such as PySpark, Kafka, Snowflake, and Delta Lake can provide exposure to modern data engineering practices. The role also emphasizes ownership, collaboration, continuous learning, and responsible use of AI-assisted development tools. Candidates who enjoy solving technical problems and building reliable data solutions may find this opportunity aligned with their career interests.
Courses to Prepare for Databricks Engineer
Applicants can strengthen their data engineering fundamentals and prepare for technical discussions by studying Python, SQL, and cloud data engineering concepts. The following learning resources may help:
- Python Programming – Review programming fundamentals and develop problem-solving skills relevant to PySpark.
- SQL Basics – Practice querying, filtering, joining, and working with relational data.
- Data Engineering – Explore data engineering concepts and pipeline development fundamentals.
Interview Preparation
Prepare PySpark transformations, DataFrame operations, joins, aggregations, partitioning, and data pipeline design. Review Kafka concepts such as topics, partitions, producers, and consumers, along with Delta Lake fundamentals, Databricks Workflows, Snowflake, data quality checks, and orchestration. Be ready to explain how you would troubleshoot failed pipelines, validate data, improve processing efficiency, and communicate risks or dependencies. You can use this interview preparation guide to revise technical and problem-solving topics.
Related Job Opportunities
How to Apply for Iris Software Databricks Engineer
Interested candidates can apply through the official Iris Software careers portal. Review the job requirements carefully and submit your application using the company’s recruitment process.
- Open the official Iris Software Databricks Engineer job posting using the application link below.
- Review the mandatory skills, responsibilities, and job details provided on the careers page.
- Prepare an updated resume highlighting relevant data engineering experience, PySpark, Kafka, Databricks, Snowflake, Delta Lake, and project work.
- Complete the application form with accurate personal, educational, and professional information.
- Submit your application through the official Iris Software careers portal.
- Monitor your registered email and contact details for further recruitment communication.
Apply Now – Iris Software Careers
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Frequently Asked Questions (FAQs)
1. What are the mandatory skills for Iris Software Databricks Engineer?
The job description lists PySpark, Apache Kafka, Databricks Workflows, Delta Lake on Databricks, and Snowflake as mandatory skills. Applicants should review the official posting for any additional requirements.
2. What is the salary for the Iris Software Databricks Engineer role?
The salary package is not disclosed in the supplied job description. Candidates should confirm the compensation range and benefits directly with Iris Software during recruitment.
3. Is this role open to freshers, and what is the work mode?
The supplied job description does not specify the eligible batch, minimum experience, or work mode. The location is Noida, Uttar Pradesh, India. Candidates should check the official careers page for the latest qualification, experience, and work arrangement details.
Final Words: Iris Software Databricks Engineer is an opportunity for data engineering professionals interested in scalable pipelines, streaming workflows, enterprise data platforms, and analytics solutions. Review the mandatory technologies, prepare your resume, and apply through the official careers portal. Share this opportunity with others looking for data engineering jobs in Noida.