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 .

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.

reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

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. o Python and SQL

8+ years strong hands-on experience with:

Experience building scalable ETL/ELT data ingestion, Transformation and curation pipelines

Experience with Lakehouse architecture (ingestion + curated layers)
Experience implementing data quality, validation, and monitoring frameworks
Strong understanding of distributed data processing
Experience with CI/CD, Git, and pipeline automation
Strong banking/financial services domain experience
Ability to deliver production-grade, scalable data products end-to-end
Experience working in Agile, cross-functional teams
Can work independently with minimum supervision
Flexible and adaptable working style to work with multiple stakeholders
Open to work in UK Shift (10 AM to 9 PM IST with 8 hours of productive work)

Exposure to Snowflake (hybrid environments)

Experience with data governance and catalog tools
Experience in regulated environments
Familiarity with financial domains (Payments, FX, Accounts)
Experience in data product-oriented delivery approaches
AI-assisted data product development experience

Data & AI - Data Engineering - Data Quality & Validation

Big Data - Big Data - Pyspark

Data & AI - MLOPS - Python

Database - Database Programming - SQL

Data & AI - Data Engineering - Apache Kafka

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.

Data Engineering Lead - Finance Data

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