Data Engineer

3 weeks ago


Chicago, United States Caterpillar Inc. Full time

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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