Cloud Engineer

What is in it for you?

As a AWS Databricks Developer you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.

• Strong expertise in Databricks, Spark/PySpark, Teradata, AWS, and Dev Ops practices
• While driving end-to-end data engineering initiatives in an Agile environment.
• Key Responsibilities Collaborate with business and technical stakeholders to understand requirements and translate them into scalable data solutions.
• Design, document, and implement cloud-native data architectures and engineering solutions.
• Develop high-performance ETL/ELT pipelines using Spark and PySpark. Build and optimize data ingestion, transformation, and loading processes for enterprise-scale data platforms

• Ab Initio Shell Scripting (Unix/Linux, KSH)
• AWS Cloud Services (S3, EC2, Lambda, Glue, SNS, SQS, ECS, IAM, Cloud Watch) Data Warehouse & Data Lake Implementation CI/CD & Dev Ops Tools (Git, Jenkins, Artifactory)
• Production Support & Monitoring Agile Methodologies Preferred Skills Jira & Confluence.
• Healthcare Domain Experience Enterprise Scheduling Tools (CA7) Cloud Data Migration & Modernization Azure/AWS Integration.