Senior Consultant - AWS DevSecOps Engineer - Dubai

at  Infosys

EXPERIENCE AND KNOWLEDGE

• Including Specific Functional, Product Or Domain Expertise

QUALIFICATIONS:

Bachelor’s degree in Computer Science, Engineering, or related field.
Significant 5 years of experience in designing and implementing scalable data engineering solutions on AWS.
Strong proficiency in Python programming language.
Expertise in serverless architecture and AWS services such as Lambda, Glue, Redshift, Kinesis, SNS, SQS, and CloudFormation.
Experience with Infrastructure as Code (Iac) using AWS CDK for defining and provisioning AWS resources.
Ability to mentor and guide junior team members.
Good understanding of data modelling concepts and experience with tools like ER Studio.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Experience with Apache Airflow for orchestrating data pipelines is a plus.
Extensive Knowledge of AKS and ECS.•

ABOUT US

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

ROLE RESPONSIBILITIES

1.Lead the design and architecture of scalable and reliable data engineering solutions on AWS, leveraging serverless architecture and best practices.
2.Share the best practices to data engineering team members, guiding them in designing and implementing robust data pipelines.
3.Collaborate with cross-functional teams to understand mission requirements and translate them into scalable data solutions.
4.Work with AWS SMEs and bring in the adoption of best practices for data engineering, including code quality, performance optimization, and security.
5.Design and implement efficient data models to support mission objectives, ensuring data integrity and performance.
6.Manage and prioritize tasks for the data engineering team, ensuring timely delivery of high-quality solutions.
7.Lead code reviews and provide constructive feedback to team members to improve code quality and ensure adherence to best practices.
8.Stay up-to-date with the latest technologies and trends in data engineering and recommend improvements and optimizations to existing systems.
9. Work closely with DevOps team to integrate data pipeline deployments into CI/CD pipelines and automate infrastructure management tasks
10. Deploy, configure, and manage cloud resources including EC2, RDS such as My SQL , Mongo DB and SQL, S3, VPC, IAM, Cloud Front, and other AWS services.