Roles/Responsibilities:
- Lead the design and development of scalable and high-performance solutions using AWS services.
- Experience with Databricks Elastic search Kibanna S3.
- Experience with Extract Transform and Load (ETL) processes and data pipelines.
- Write clean maintainable and efficient code in Python/Scala.
- Experience with AWS Cloud-based Application Development
- Experience in Electronic Health Records (EHR) HL7 solutions.
- Implement and manage Elastic Search engine for efficient data retrieval and analysis.
- Experience with data warehousing data visualization Tools data integrity
- Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects.
- Excellent knowledge in designing both logical and physical database model
- Develop database objects including stored procedures functions
- Extensive knowledge on source control tools such as GIT
- Develop software design documents and work with stakeholders for review and approval.
- Exposure to flowcharts screen layouts and documentation to ensure logical flow of the system requirements
- Experience working on large agile projects.
- Experience or Knowledge on creating CI/CD pipelines using Azure Devops
Mandatory Skills:
- 12 years developing complex database systems.
- 8 years Databricks.
- 8 years using Elastic search Kibanna.
- 8 years using Python/Scala.
- 8 years Oracle.
- 5 years experience with Extract Transform and Load (ETL) processes and developing Data Pipelines.
- 5 years experience with AWS.
- 5 years experience with data warehousing data visualization Tools data integrity.
- 5 years using CMM/CMMI Level 3 methods and practices.
- 5 years implemented agile development processes including test driven development.
Desirable Skills:
- 3 years experience or Knowledge on creating CI/CD pipelines using Azure DevOps.
Roles/Responsibilities: Lead the design and development of scalable and high-performance solutions using AWS services. Experience with Databricks Elastic search Kibanna S3. Experience with Extract Transform and Load (ETL) processes and data pipelines. Write clean maintainable and efficient code in...
Roles/Responsibilities:
- Lead the design and development of scalable and high-performance solutions using AWS services.
- Experience with Databricks Elastic search Kibanna S3.
- Experience with Extract Transform and Load (ETL) processes and data pipelines.
- Write clean maintainable and efficient code in Python/Scala.
- Experience with AWS Cloud-based Application Development
- Experience in Electronic Health Records (EHR) HL7 solutions.
- Implement and manage Elastic Search engine for efficient data retrieval and analysis.
- Experience with data warehousing data visualization Tools data integrity
- Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects.
- Excellent knowledge in designing both logical and physical database model
- Develop database objects including stored procedures functions
- Extensive knowledge on source control tools such as GIT
- Develop software design documents and work with stakeholders for review and approval.
- Exposure to flowcharts screen layouts and documentation to ensure logical flow of the system requirements
- Experience working on large agile projects.
- Experience or Knowledge on creating CI/CD pipelines using Azure Devops
Mandatory Skills:
- 12 years developing complex database systems.
- 8 years Databricks.
- 8 years using Elastic search Kibanna.
- 8 years using Python/Scala.
- 8 years Oracle.
- 5 years experience with Extract Transform and Load (ETL) processes and developing Data Pipelines.
- 5 years experience with AWS.
- 5 years experience with data warehousing data visualization Tools data integrity.
- 5 years using CMM/CMMI Level 3 methods and practices.
- 5 years implemented agile development processes including test driven development.
Desirable Skills:
- 3 years experience or Knowledge on creating CI/CD pipelines using Azure DevOps.
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