Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Data cataloguing
Time series data
MQTT
Kinesis
S3
Redshift
API Gateway
AWS Services
Snowflake
Data Engineer
Data model
Data flow
DBT
Tableau
GitHub
Oracle HRIS
Job Details
Role: Sr. Data Engineer Snowflake
Duration: 12 Months
Location: Detroit MI (Fully Onsite)
Job description:
- Responsible for technical and performance commitments achievement in collaboration with the PM
- Establishes and supports solution and technical architecture, in collaboration with expert or system architect
- define and deploy the data strategy
- Plan the architecture development and deployment
- Presenting the structuring architecture guidelines and obtaining decisions from stakeholders
Mandatory :
- Expertise in Cloud design and development in AWS : Realtime dataflow, data storage, data integration
- Strong Background in SW, IT/OT, development and implementation project, S3 data management
- Background in Industrialization, infrastructure, network and cybersecurity
- AWS certification (Edge / Cloud)
- Industrialization, infrastructure, network
- Data model, data flow, and analytics knowledge
- Consulting soft skills
- Excellent English communication
- Project management fundamentals
- Problem solving mindset / agility
- Workshops design & facilitation
- Experienced hands-on with Snowflake SQL,DBT, Tableau, GitHub , Oracle HRIS in this order
- Experienced Data engineer with hands-on experience, particularly from a data perspective rather than just system-level knowledge. This is crucial for ensuring they can independently handle tasks and understand the intricacies of the work required
Appreciated :
- Solution architect (L1/L2)
- Manufacturing operations background & Industry4.0
Mandatory :
- AWS Services : Kinesis, S3, Redshift, API Gateway
- Data cataloguing
- Time series data
- MQTT
Appreciated :
- Databricks
- HiveMQ
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