

Senior Data Engineer
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
Skills Needed:
• 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.
• Over 5+ years experience with data warehousing, data visualization Tools, data integrity .
• Over 5+ years using CMM/CMMI Level 3 methods and practices.
• Over 5+ years implemented agile development processes including test driven development.
• Over 3+ years Experience or Knowledge on creating CI/CD pipelines using Azure Devops- Nice to have
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
Skills Needed:
• 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.
• Over 5+ years experience with data warehousing, data visualization Tools, data integrity .
• Over 5+ years using CMM/CMMI Level 3 methods and practices.
• Over 5+ years implemented agile development processes including test driven development.
• Over 3+ years Experience or Knowledge on creating CI/CD pipelines using Azure Devops- Nice to have