Cloud Platform Engineer

 About The Role  

Project Role :Cloud Platform Engineer

Project Role Description :Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance.
Must have skills :AWS Analytics

Good to have skills :NA
Minimum 2 year(s) of experience is required

Educational Qualification :15 years full time education
Position Overview:As a Junior AWS Cloud Data Engineer, you will support the design, development, and maintenance of our AWS-based data infrastructure. This entry-level position offers an excellent opportunity to learn and grow in a fast-paced, collaborative environment while working on real-world data engineering challenges.Key Responsibilities:-Assist in the development and maintenance of data pipelines and ETL processes using AWS services (e.g., AWS Glue, Amazon S3, Amazon Redshift).-Support data integration tasks, including extracting, transforming, and loading data from various sources.-Help monitor and optimize data workflows to ensure efficient performance and data accuracy.-Work with senior data engineers and other team members to understand data requirements and implement solutions.-Participate in data modelling and schema design activities to support business intelligence and analytics.-Assist with data quality assurance tasks, including data validation and error troubleshooting.-Document processes, data flows, and technical configurations as needed.-Stay up-to-date with AWS services and data engineering best practices.Technical experience:-Good understanding of AWS services related to data engineering, such as Amazon S3, Amazon RDS, and AWS Glue.-Familiarity with SQL and relational databases.-Some experience or coursework in programming languages such as Python or Java is preferred.-Eagerness to learn and adapt to new technologies and tools.-Strong problem-solving skills and attention to detail.-Good communication skills and the ability to work effectively in a team environment.Preferred Qualifications:-practical experience with AWS or data engineering tasks is a plus.-Knowledge of data modelling concepts and ETL processes.-Familiarity with version Qualification 15 years full time education