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Posted On: 8 Jul 2026
Location: Noida, UP, India
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Company: Iris Software
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.
About Us
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 with Us
At Iris, every role is more than a job — it’s a launchpad for growth.
Our Employee Value Proposition, “Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.
Job Description
Core Technologies
Apache Spark (Core, SQL, Structured Streaming)
PySpark
Databricks (AWS/Azure)
Advanced SQL
DevOps & CI/CD
Jenkins, Git/GitHub/Bitbucket
Programming
Python, SQL
Java/Scala (Nice to have)
Cloud & Infrastructure
AWS (S3, EMR, EC2, IAM, CloudWatch)/Azure- Preferred
Databricks Runtime & Cluster Management- Preferred
Streaming & Integration
Apache Kafka
Snowflake integration
Airflow
Perform Spark performance tuning
DAG analysis
Shuffle optimization
Partition strategies
Executor/memory tuning
Experience in financial services, regulatory reporting, or enterprise data platforms.
Hands-on experience in Delta Lake optimization and incremental processing strategies.
Experience with Snowflake data warehousing.
Databricks Certification (Professional level preferred).
Strong understanding of distributed computing principles.
Key Responsibilities
Design and develop scalable batch and near-real-time ETL/ELT pipelines using Databricks (AWS) and Apache Spark (PySpark, Spark SQL, Structured Streaming).
Modernize legacy SQL/Hive/stored procedure workflows into distributed Spark-native architectures.
Perform Spark performance tuning, including:
Build structured streaming pipelines using Kafka and Spark Structured Streaming.
Design dimensional data models (Fact/Dimension, SCD Type 2).
Orchestrate pipelines using Databricks Workflows / Apache Airflow.
Integrate CI/CD pipelines using Jenkins, Git, Bitbucket/GitHub for automated deployment across DEV/UAT/PROD.
Responsibility as team handling:
Technical Leadership
Lead end-to-end solution design for data platforms using Databricks (batch, streaming, ML workloads)
Define architecture patterns like Lakehouse, Medallion (Bronze/Silver/Gold)
Act as SME for Databricks, Spark, and data engineering best practices
Team Leadership
Lead and mentor a team of data engineers (typically 5–10 members)
Conduct code reviews, enforce best practices, and ensure delivery quality
Guide team in troubleshooting complex technical issues
Stakeholder Management
Collaborate with business stakeholders, architects, and product owners
Translate business requirements into technical designs and sprint tasks
Drive technical decisions (performance vs cost vs scalability)
Delivery & Governance
Own end-to-end delivery of data projects
Ensure adherence to Agile processes, SLAs, and governance models
Perform design reviews, estimations, and risk management
Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Databricks
Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight
Big Data - Big Data - Pyspark
Database - Database Programming - SQL
Data Science and Machine Learning - Data Science and Machine Learning - Python
Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark
Beh - Communication and collaboration
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits. »
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