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Data Engineering - Technology

Iris Software Inc.

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. Weare looking for an expert Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms.

Expert in data development in ETL, Python, Pyspark, Postgres, Airflow etc.

Experience: 9–10 years

ETL - ETL - Azure Data Factory

Programming Language - Python - Apache Airflow

Big Data - Big Data - Pyspark

Database - PostgreSQL - PostgreSQL

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.

Vacancy posted 24 days ago
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