Responsibilities:
- Design develop and deploy cloudbased applications and services on AWS or GCP platforms.
- Use programming skills in Java to develop scalable and efficient solutions.
- Implement and maintain REST APIs and microservices architecture.
- Work with various cloud resources such as Redis Elasticsearch and DynamoDB to optimize
performance and functionality.
- Implement CI/CD pipelines using CloudFormation and Serverless frameworks for automated deployment and testing.
Preferred Qualifications:
- Experience with data streaming technologies such as Amazon Kinesis and Google Cloud Pub/Sub for realtime data processing and analytics.
- Experience with containerization technologies such as Docker and Kubernetes.
- Familiarity with DevOps practices and tools.
- Certifications in either AWS or GCP (e.g. AWS Certified Developer Google Professional Cloud Developer) preferred
- Experience in hybrid of Data Lake with RDBMS/Warehouselike features including ACID transactions and stronger schema enforcement and data governance
- Hands on with data governance enabling organizations to securely store manage and share data at scale using Unity Catalog.
- Experience with Large data set pipe lines by using the parallel processing .
- Experience with data batch processing.
- Experience with SCD1 and SCD2 implemention.
- Experience with Delta and Full loads.
- Experience with SQL and NoSQL databases data warehousing concepts and big data technologies.
- Proficiency in programming languages such as SQL/PL SQL and JAVA.
- Familiarity with data governance data security and compliance practices.
- Strong problemsolving and troubleshooting skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fastpaced and dynamic environment.
Preferred Skills (not a must but valueadded):
- Experience with Azure services.
- Familiarity with DevOps practices and tools for continuous integration and deployment of data solutions.
cloudformation,data governance,pl/sql,big data,sql,azure,devops,gcp,microservices,nosql,data security,aws,java,data streaming,kubernetes,data warehousing,serverless,docker,restful api