Python Developer
VDart IncAuburn Hills, Michigan, USA3 days ago
Job type
- Full-time
Job descriptionHands-on Data Engineering : Minimum 5 yearsof practical experience building production-grade data pipelines using Python and PySpark. Airflow Expertise : Proven track record of designing deploying and managing Airflow DAGs in enterprise environments. CI / CD for Data Projects : Ability to build and maintain CI / CD pipelinesfor data engineering workflows including automated testing and deployment Cloud & Containers : Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles Python Fluency : Ability to write object-oriented Python code manage dependencies and follow industry best practices Version Control : Proficiency with Git for source code management and collaboration (commits branching merging GitHub / GitLab workflows). Unix / Linux : Strong command-line skills in Unix-like environments. SQL : Solid understanding of SQL for data ingestion and analysis. Collaborative Development : Comfortable with code reviews pair programming and usingremote collaboration tools effectively. Engineering Mindset : Writes code with an eye for maintainability and testability; excited to build production-grade software Education : Bachelors or graduate degree in Computer Science Data Analytics or related field or equivalent work experience. Graduate degree in a related field such as Computer Science or Data Analytics Familiarity with Test-Driven Development (TDD) A high tolerance for OpenShift Cloudera Tableau Confluence Jira and other enterprise tools
Python Developer
Contract
Auburn Hills MI (Onsite)
This position requires hands-on expertise in building deploying and maintaining robust data pipelines using Python PySpark and Airflow as well as designing and implementing CI / CD processes for data engineering projects
Key Responsibilities
- Data Engineering : Design develop and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
- Workflow Orchestration : Build schedule and monitor complex workflows using Airflow ensuring reliability and maintainability.
- CI / CD Pipeline Development : Architect and implement CI / CD pipelines for data engineering projects using GitHub Docker and cloud-native solutions.
- Testing & Quality : Apply test-driven development (TDD) practices and automate unit / integration tests for data pipelines.
- Secure Development : Implement secure coding best practices and design patterns throughout the development lifecycle.
- Collaboration : Work closely with Data Architects QA teams and business stakeholders to translate requirements into technical solutions.
- Documentation : Create and maintain technical documentation including process / data flow diagrams and system design artifacts.
Technical Experience :
Unique Skills :
Key Skills
APIs,Docker,Jenkins,REST,Python,AWS,NoSQL,MySQL,JavaScript,Postgresql,Django,GIT
Employment Type : Full Time
Experience : years
Vacancy : 1
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Python Developer • Auburn Hills, Michigan, USA
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