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iris software inc.

Senior Data Engineer

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  • Posted 29 days ago
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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

Key Responsibilities:

  • Design and develop robust data pipelines and ETL processes
  • Support data migration from traditional systems (Oracle, Vertica) to modern cloud platforms (Snowflake, AWS)
  • Build and maintain scalable data ingestion and transformation frameworks
  • Optimize and tune data queries for performance and efficiency
  • Implement and manage cloud-based data solutions (Snowflake, AWS, Azure)
  • Work closely with architects and senior engineers on solution design
  • Participate in Agile development practices (Scrum/Kanban)
  • Conduct unit testing, troubleshoot issues, and ensure data quality
  • Document data models, processes, and best practices

Technical Skills

  • Cloud Platforms: AWS (preferred), Snowflake, Azure (nice to have)
  • Databases: Oracle, SQL Server, Vertica, MongoDB
  • Languages: Python, SQL, Shell scripting (Java is a plus)
  • Tools: Spark (preferred), Tableau, Jenkins, Git, Docker (basic understanding)
  • Frameworks: Familiarity with REST APIs and microservices architecture
  • Data Skills: Data modeling, ETL, Data Migration, Data Quality
  • Agile Methodologies: Experience working in Scrum/Kanban teams

Mandatory Competencies

Data Science and Machine Learning - Data Science and Machine Learning - Databricks

Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark

Big Data - Big Data - Pyspark

Beh - Communication

Data Quality - Quality Knowledge Base (QKB) - QKB

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

Database - Sql Server - SQL Packages

Automation - Scripting & Automation - Shell Scripting

Programming Language - Python - Apache Airflow

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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About Company

Job ID: 147550069

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