Data Engineer

Lansing, IL - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Engineer
Location: Lansing MI

Job Description:

(Detail Position Summary in Bullet Point or Descriptive Statement)

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

Skill Descriptions :

(8-10 or more Required/Desired/Nice to Have skills in Bullet Points identified by their ranking)
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.

Best Regards:

Monika G
Phone: 1-
Email:

Job Title: Data Engineer Location: Lansing MI Job Description: (Detail Position Summary in Bullet Point or Descriptive Statement) Lead the design and development of scalable and high-performance solutions using AWS services. Experience with Databricks Elastic search Kibanna S3. Experience with Ex...

Job Title: Data Engineer
Location: Lansing MI

Job Description:

(Detail Position Summary in Bullet Point or Descriptive Statement)

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

Skill Descriptions :

(8-10 or more Required/Desired/Nice to Have skills in Bullet Points identified by their ranking)
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.