Create and maintain data pipelines leveraging AWS Glue and Apache Spark

Execute data extraction and efficiency improvements for warehouse operations

Develop scalable applications on Amazon Elastic Kubernetes Service

Construct real-time streaming solutions using Amazon Kinesis

Optimize and author queries with Amazon Athena and Apache Hive

Partner with BI teams to aid process analysis and BI toolset functions

Develop backend services in Java and Node.js environments

Guarantee data security and regulatory compliance within AWS

Supervise and resolve issues in data workflows and infrastructure

Engage in code reviews to uphold coding standards

Prepare documentation for technical specifications and workflows

Collaborate with multidisciplinary teams to deliver solutions tailored to clients

Assist in healthcare data migration and centralization initiatives

Keep abreast of new AWS technologies and industry best practices

Proven experience in data software engineering with over 3 years working on AWS platforms

Comprehensive expertise in AWS Glue, Amazon Athena, and broader Amazon Web Services

Strong proficiency in Apache Spark and Apache Hive technologies

Hands-on programming skills in Java and Node.js

Experience managing applications on Amazon Elastic Kubernetes Service and streaming data with Amazon Kinesis

Solid understanding of BI process analysis and BI toolset operations

Advanced ability to write and tune SQL queries

Excellent analytical and problem-solving capabilities

Familiarity with secure data management and compliance standards

Effective communication and teamwork skills

English language proficiency at B2 (Upper-Intermediate) level