Lead Data Engineer (Hybrid Onsite)

Job Title:

Lead Data Engineer (Hybrid Onsite)

Location:

Lansing, MI

Duration:

12 months

Interview Process:

Candidates submitted must be willing to come ONSITE (Lansing, MI) for interviews. A screenshot photo of candidate will be required for any interviews as well as a vendor present at beginning of any MS Teams interview to validate candidate.

Note:

On-site: Hybrid position - Onsite 2 days per week - REQUIRED. CANDIDATES MUST BE LOCAL (60mi radius from Lansing). Hiring manager is not currently interested in candidates who will need to relocate to accept offer. NO REMOTE ONLY OPTION.

Job Description

Position Summary

• 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
  

Top Skills & Years of Experience

Skill Description

• 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

Recruiter Details:

Name : Lokesh at gsksolutions dot com

Contact : Eight three two - Nine nine zero -Two four two six