Data Engineer at Caterpillar Inc. in Chicago, Illinois

Posted in Other 15 days ago.

Type: full-time





Job Description:

Job Title: Data Engineer 3

Location: Chicago, IL (Hybrid 1-2 days in a week office)

Duration: 12 Months

Position's Contributions to Work Group: Python & AWS development to build, enhance and maintain monitoring capabilities.

Reason/motivation for request: - Backfill

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

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
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