Position Purpose:

The Data Engineer II - Data Engineer is responsible for supporting our enterprise data warehouse for our Supply Chain Operations. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer IIs may be involved in configuration, security, resilience, performance tuning and production moni
Key Responsibilities:

60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives

Direct Manager/Direct Reports:

This position typically repots to Software Engineer Manager or Sr. ManagerThis position has 0 Direct Reports

Travel Requirements:

No travel required.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.Must be legally permitted to work in the United States.

Preferred Qualifications:

1-3 years of relevant work experienceExtensive ETL experience, preferably with a focus on Google Cloud PlatformExperience working in SQL, with the ability to work with most databasesPrevious experience working with BigQuery as a Data Warehouse serviceHands-on experience in big data environmentsExperience in cloud computing techniques: Google Kubernetes, Google Cloud Composer, Google Big Query, Google Secret Manager, Google Cloud DNSExperience in CI/CD toolsExperience in version control systemsFamiliarity with Data Science principles and practices Knowledge of Dimensional Modeling using relevant toolsExperience in Angualar,Javascript /Typescript frameworks, Python, BashExperience in an object-oriented programming language, JavaExperience in source code version controlExperience in Relational or noSQL database technologyExperience in microservice-based architectureExperience with modern debugging and root cause analysis techniquesExposure to security frameworks for user and services authorization and authenticationExposure to creating and executing unit, functional, destructive and performance tests

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

No additional education

Minimum Years of Work Experience:

2

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

None

Preferred Leadership Experience:

None

Certifications:

None

Competencies:

Global PerspectiveManages AmbiguityNimble LearningSelf-DevelopmentCollaboratesCultivates InnovationSituational AdaptabilityCommunicates EffectivelyDrives ResultsInterpersonal Savvy