Data Engineer

Skills

Experience with serverless design in AWS Four years or more of experience in data engineering and/or software development. Three years or more of experience with development operations or architecture in AWS using Python. Experience with development and delivery of microservices using serverless AWS services (S3 RDS Aurora DynamoDB Lambda SNS SQS Kinesis IAM) Strong competency in testing including unit testing to coverage standards and integration testing.

Description

Develop datasets and microservices in support of new monitoring solutions and automations to accelerate issue detection and correction.
Transformation of data to enable machine learning and/or monitoring of anomalies.
Consumption of metadata to enable anomaly alarms and monitoring.
Employee is also responsible for performing other job duties as assigned by management from time to time.

Responsibilities

• Software development experience with object-oriented development and design patterns
• AWS technical certifications (Developer Associate, Solution Architect Associate)
• Familiarity with machine learning and data design to support machine learning
• Experience with productionizing machine learning workloads
• Experience with ElasticSearch/ELK, Kibana, Grafana, and/or Prometheus
• Experience with OpenTelemetry

Educational Requirements

• Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.
• Ability to clearly communicate complex technical ideas.
• Comfortable working in a dynamic environment where digital is still evolving as a core offering.
• Education Requirements:
• Bachelor's degree in computer programming or a relevant field required and 5-7 years’ experience required.
• 4+ years’ experience with Master’s degree or higher
• Associates degree with a minimum of 10 years of experience in this field.