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

We are seeking a skilled and dedicated hands-on Data Engineer to join our team. The successful candidate will have a strong background in data architecture, database management, and data pipeline development, working closely with our business stakeholders, clients, vendors, analysts and data scientists to ensure the smooth flow of data across the organization. You will play a key role in designing, developing, and maintaining robust and scalable data solutions that support critical business insights.

Responsibilities

• Data Infrastructure Management: Design, implement, and maintain efficient and scalable data infrastructure, including data lakes, data warehouses, and relational and NoSQL databases.
• Reporting: Maintain existing reports and data feeds. Optimize existing ones for resilience and spend. Build new reports and feeds into our internal and external customers.
• Data Pipeline Development: Develop, test, and maintain ETL (Extract, Transform, Load) pipelines to collect, process, and transfer data across different sources and destinations.
• Data Quality and Governance: Ensure data quality, consistency, and accuracy through data validation, monitoring, and management of data governance standards.
• Optimization: Optimize database queries, data storage, and retrieval for performance improvements.
• Collaboration: Work closely with data scientists, analysts, and product teams to understand data requirements and translate them into efficient technical solutions.
• Data Security: Implement and enforce data security best practices to ensure compliance with regulatory standards.
• Documentation: Document data architecture, processes, and infrastructure changes.
  
  

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: 3+ years of experience in a data engineering role or similar.
• Technical Skills:
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Strong programming skills in Java, Python and Spring Boot.
• Hands-on experience with big data processing tools (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services.
• Familiarity with ETL tools (e.g., Apache NiFi, Airflow, Talend).
• Knowledge of data warehousing concepts (e.g., Redshift, Snowflake).
• Soft Skills: Strong analytical skills, problem-solving abilities, and excellent communication and teamwork skills.
  

Preferred Skills

• Experience with data modeling and database schema design.
• Familiarity with real-time data streaming (e.g., Kafka).
• Knowledge of machine learning infrastructure (e.g., MLflow, TensorFlow Extended).
• Experience working in the P&C Insurance industry.
  
  

Mandatory Competencies

Big Data - Big Data - Pyspark

Data & AI - ETL OTHERS - Snowflake

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

Data & AI - Data Engineering - Apache Kafka

Programming Language - Python - Apache Airflow

Database - Database Programming - SQL

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

Data & AI - Data Engineering - Data Quality & Validation

Data & AI - Data Engineering - Stream Processing

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. Click here to view the benefits.