Data Engineer
Apply NowCompany: Technogen International Company
Location: Chicago, IL 60629
Description:
Job Title - Data Engineer 3 - (Python & AWS)
Request #39305-1
Location: Chicago Office IL preferred open to Peoria, IL - Hybrid role, 1-2x times a week.
Duration: 12 months
Position's Contributions to Work Group:
Python & AWS development to build, enhance and maintain monitoring capabilities.
Typical task breakdown:
- 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 Caterpillar management from time to time.
Interaction with team:
- Liaise with designers, engineers, and support teams to improve data pipeline performance & reliability.
Work environment:
- Work independently and collaborate with internal team and cross functional teams via Teams meetings, chat, and/or email
Candidate Requirements
Education & Experience Required:
- 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.
Technical Skills (Required)
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.
(Desired)
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
Soft Skills (Required)
Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
Basic ability to work independently and manage one's time.
(Desired)
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.
Disqualifiers/Red Flags:
No experience with automated testing
Make sure to list on the resume where the candidate resides or they will be DQ
No public cloud experience.
Interview Process:
- 1st round: initial round ( Manager asking non-technical questions)- 30 min
- 2nd round: Technical interview ( 30 min)
- Interviews will be via teams
Request #39305-1
Location: Chicago Office IL preferred open to Peoria, IL - Hybrid role, 1-2x times a week.
Duration: 12 months
Position's Contributions to Work Group:
Python & AWS development to build, enhance and maintain monitoring capabilities.
Typical task breakdown:
- 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 Caterpillar management from time to time.
Interaction with team:
- Liaise with designers, engineers, and support teams to improve data pipeline performance & reliability.
Work environment:
- Work independently and collaborate with internal team and cross functional teams via Teams meetings, chat, and/or email
Candidate Requirements
Education & Experience Required:
- 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.
Technical Skills (Required)
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.
(Desired)
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
Soft Skills (Required)
Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.
Basic ability to work independently and manage one's time.
(Desired)
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.
Disqualifiers/Red Flags:
No experience with automated testing
Make sure to list on the resume where the candidate resides or they will be DQ
No public cloud experience.
Interview Process:
- 1st round: initial round ( Manager asking non-technical questions)- 30 min
- 2nd round: Technical interview ( 30 min)
- Interviews will be via teams