Data Cloud AWS - Senior Engineer

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, Dev Ops, 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

asic Qualifications  Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
8+ years of data engineering experience in designing, implementing, and optimizing large-scale data systems.

Strong proficiency in Python, with production-level experience in building reusable, scalable data pipelines.

Hands-on expertise with Databricks (Delta Lake, Spark, MLflow), and modern orchestration frameworks (Airflow, Prefect, Dagster, etc.).Proven track record of deploying and supporting AI/ML pipelines in production environments.

Experience with cloud platforms (AWS, Azure, or GCP) for building secure and scalable data solutions.

Familiarity with regulatory compliance and data governance standards in healthcare or life sciences.

Preferred Qualifications

Experience with event-driven systems (Kafka, Kinesis) and real-time data architectures.

Strong background in data modeling, Lakehouse/lake/warehouse design, and query optimization.

Exposure to AI orchestration platforms and generative AI use cases.

Contributions to open-source projects or published work in data engineering/ML.Agile development experience, including CI/CD, automated testing, and Dev Ops practices.

Mandatory Competencies

ETL - ETL - AWS Glue

Agile - Agile - Extreme Programming

Cloud - AWS - AWS Lambda,AWS Event Bridge, AWS Fargate

Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift

Cloud - AWS - Dynamo DB, Amazon Aurora, Amazon RDS

Middleware - API Middleware - API (SOAP, REST)

Data Science and Machine Learning - Data Science and Machine Learning - Python

Big Data - Big Data - 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.  to view the benefits.