Senior Consultant - Data Engineer
Company:
Location:United States
Languages:English
Seniority level:Senior, 5-8 years
Experience:5-8 years
Skills:
PythonSQLAgileCloud ComputingJenkinsKafkaKubernetesData engineeringData scienceSparkRESTful APIsDevOps
Requirements:
- Post-Secondary Degree (or Diploma) related to Computer Science, MIS or IT-related field. BA/BS in unrelated field will also be considered depending on experience
- 5-8 years in Data Engineering
- 3+ years of application design and development experience in a cloud environment
- 2+ years of experience building and deploying containerized applications in a Kubernetes enabled environment
- 2+ years of experience coding REST services and APIs using one or more of the following: Python, C#, Node.js, Java
- Google Cloud CertifiedProfessional Data Engineer
- Google Cloud Certified Cloud DevOps Engineer (Optional)
Responsibilities:
- Develop and implement data ingestion pipeline
- Develop and implement data validation process
- Developing and maintaining datasets
- Improving data quality and efficiency
- Analyzing raw data
- Create solutions and design documentation
- Work on projects independently as well as being part of a large team
- Crosstrain Junior Data Engineers or other team members with your area of expertise
- Further develop skills both on the job and through formal learning channels
- Assist in pre-sales activities by providing accurate work estimate
- Interacts closely with Project Management to deliver projects that are done on time and on budget.
