Code+Folder/jd_data/da3_infosys.txt

Job Description
Proven experience in designing and implementing data solutions on AWS.
 In-depth knowledge of AWS data services such as S3, Glue, Redshift, Athena, Lambda and Cloud Formation.
 Proficiency in programming languages such as Python for data processing and automation.
 Proficiency in SQL and experience in working on different databases.
 Experience with data warehousing, data modeling, and ETL development.
 Strong understanding of data security, encryption, and compliance on AWS.
 Excellent problem-solving and communication skills.
 AWS certification(s) such as AWS Data Engineer - Associate is a plus.
 Design, develop, and maintain data pipelines and ETL processes on AWS using services such as S3, Glue, Lambda and Cloud Formation.
 Implement scalable and efficient data storage solutions on AWS, ensuring data security and compliance.
 Collaborate with data scientists and analysts to understand data requirements and implement solutions to support analytical processes.
 Optimize data workflows and processes for performance and cost-efficiency.
 Troubleshoot and resolve data-related issues, ensuring minimal downtime and high availability.
 Monitoring existing data pipelines and be part of other support activities.
 Stay updated with AWS services and best practices and provide recommendations for continuous improvement.
 Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
 Logical thinking and problem-solving skills along with an ability to collaborate
 Understanding of the financial processes for various types of projects and the various pricing models available
 Ability to assess the current processes, identify improvement areas and suggest the technology solutions
 One or two industry domain knowledge
 Client Interfacing skills