Data Engineer
6 days ago
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
- Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference.
- Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments.
- Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems.
- Automate ML workflows using ML Ops tools and frameworks (e.g., Kubeflow, MLflow, TensorFlow Extended (TFX)).
- Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting.
- Collaborate with cross-functional teams to improve data architectures and facilitate the continuous integration and deployment of ML models.
- Work on data storage solutions, including databases, data lakes, and cloud-based storage systems (e.g., AWS, GCP, Azure).
- Ensure data security, integrity, and compliance with data governance policies.
- Perform troubleshooting and root cause analysis on production-level machine learning systems.
- Skills: Glue, Pyspark, AWS Services, Strong in SQL; Nice to have : Redshift, Knowledge of SAS Dataset
Mandatory Competencies
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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