Python - Lead

Iris Software

Dadri

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Benefits offered by this job

Benefits package

Job summary

Iris Software in India is seeking a Python developer with PySpark expertise to help drive data analytics and cloud-based solutions. The role covers backend Python, data processing, and collaboration with clients on technical solutions.

You will work with AWS services, SQL databases, Terraform, Git, and CI/CD pipelines, delivering robust applications and data workloads. Strong communicative skills to interface with clients are essential, and the position offers growth and a supportive learning

Qualifications

  • Python programming proficiency.
  • Experience with PySpark and big data processing.
  • Knowledge of PostgreSQL or SQL Server.
  • Hands-on with AWS services (S3, Lambda, etc.).
  • Experience with Terraform, Git and CI/CD pipelines.
  • Good communication skills for client interaction.

Skills

Communication skills

Tools

Python
PySpark
PostgreSQL/SQL Server
AWS (S3, Lambda, SNS, SQS, EventBridge, RDS, IAM, VPC)
Terraform
Git
CI/CD
HTML/CSS
JavaScript
Flask
Pandas

Job description

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
Required Skills
  • Programming Language: Python
  • Big Data Framework: PySpark
  • Database: PostgreSQL/SQL Server
  • AWS: S3, Glue, Lambda, SNS, SQS, EventBridge, Step Functions, RDS, IAM, VPC
  • Infrastructure: Terraform, Git, CI/CD
  • Communication Skill: Should have good communication skill as person has to directly work with client
Good to Have
  • Experience with Apache Iceberg, AWS Athena, and Data Lake/Data Warehouse concepts.
  • Knowledge of Spark performance tuning and cloud-native data architectures.
Mandatory Competencies
  • Programming Language - Python - Python Shell
  • Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate
  • Cloud - AWS - Amazon Elastic Container Registry (ECR), AWS Elastic Kubernetes Service (EKS)
  • Programming Language - Python - OOPS Concepts
  • User Interface - HTML - HTML/CSS
  • User Interface - JavaScript - JavaScript
  • Programming Language - Python - Flask
  • Programming Language - Python - Panda
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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