Python - 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, 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, develop, and maintain Python-based data processing pipelines for on-prem and file-based systems. Work with large structured and unstructured datasets for data ingestion, transformation, and validation. Implement and optimize ETL/ELT processes, ensuring data quality, consistency, and performance. Collaborate with cross-functional teams to design end-to-end data solutions, including integration with cloud and on-premise environments. Leverage AWS services (such as S3, Lambda, Glue, Step Functions, or EC2) for data processing and automation. Participate in solution design discussions and contribute to architectural decisions. Monitor, troubleshoot, and improve existing data workflows for efficiency and scalability. Ensure compliance with data governance, security, and performance standards. ________________________________________ Required Skills & Qualifications Bachelor?s degree in Computer Science, Information Technology, or related field. 5+ years of hands-on experience with Python for data processing and automation. Proven experience with on-premise data workflows and file-based data processing (CSV, JSON, XML, etc.). Strong understanding of ETL/ELT design principles and data integration tools. Basic to intermediate knowledge of AWS cloud data processing services (e.g., S3, Glue, Lambda, Redshift, or EMR). Experience in solution design and data architecture planning. Familiarity with SQL and relational databases (MySQL, PostgreSQL, etc.). Excellent problem-solving, debugging, and analytical skills. ________________________________________ Good to Have Experience with workflow orchestration tools (e.g., Airflow, Prefect, Step Functions). Exposure to DevOps practices, CI/CD pipelines, or infrastructure automation. Understanding of data security and compliance best practices. Mandatory Competencies Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - AWS - AWS S3, S3 glacier, AWS EBS Beh - Communication Database - PostgreSQL - PostgreSQL Programming Language - Python - OOPS Concepts Programming Language - Python - Panda ETL - ETL - Data Stage 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.