AWS Data

Job Description Why Join Iris Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions Join Iris Software - one of thefastest-growing IT services companies- whereyou 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 . Job Description Responsibilities - Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality. - AWS Data Services:Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc. - Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options. - Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services. - Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources. - Data Quality: Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency. - Cloud Optimization: Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud. Qualifications - Bachelor's degree in computer science, Engineering, or a related field. - 6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms. - Strong understanding of data warehousing and data lake concepts. - Proficiency in SQL and at least one programming language (Python/Pyspark). - Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka. - Knowledge of data modeling and data quality best practices. - Excellent problem-solving, analytical, and communication skills. - Ability to work independently and as part of a team. Preferred Qualifications Certifications in AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Data Mandatory Competencies Cloud - AWS - AWS S3, S3 glacier, AWS EBS Database - Database Programming - SQL Big Data - Big Data - Pyspark Programming Language - Python - Python Shell Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift DMS - Data Analysis Skills Cloud - AWS - Amazon IAM, AWS Secrets Manager, AWS KMS, AWS Cognito 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 to view the benefits.