Python Developer
Robotics technology LLC Columbus
Full job description Key Responsibilities: Application & Script Development. Design, develop, and maintain Python applications, automation scripts, and data processing workflows. Implement scalable and reusable code for ETL, reporting, and analytics use cases.
Data Integration & Warehousing (OWB) Develop and maintain ETL processes using Oracle Warehouse Builder (OWB Design, optimize, and monitor data pipelines for efficient data loading and transformation. Work with relational databases (Oracle, SQL) to ensure high performance and data integrity.
Containerization & Orchestration (Kubernetes) Deploy, manage, and monitor applications in Kubernetes clusters. Implement CI/CD pipelines for application and ETL deployments. Ensure reliability, scalability, and fault tolerance of containerized services.
Collaboration & Best Practices Work closely with data engineers, analysts, and DevOps teams to deliver robust solutions. Ensure adherence to coding standards, documentation, and best practices. Troubleshoot and resolve production issues in a timely manner.
Required Skills & Experience: Programming & Scripting: Strong experience with Python (data processing, APIs, automation ETL & Data Warehousing: Hands-on expertise with Oracle Warehouse Builder (OWB), Oracle PL/SQL, and data modeling. Kubernetes & Cloud: Experience deploying and managing applications on Kubernetes (AKS, EKS, GKE, or on-prem Databases: Strong SQL and performance tuning skills.
DevOps & CI/CD: Familiarity with Git, Jenkins, Docker, Helm, or similar tools. Problem Solving: Strong debugging, troubleshooting, and performance optimization skills. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.
Data Integration & Warehousing (OWB) Develop and maintain ETL processes using Oracle Warehouse Builder (OWB Design, optimize, and monitor data pipelines for efficient data loading and transformation. Work with relational databases (Oracle, SQL) to ensure high performance and data integrity.
Containerization & Orchestration (Kubernetes) Deploy, manage, and monitor applications in Kubernetes clusters. Implement CI/CD pipelines for application and ETL deployments. Ensure reliability, scalability, and fault tolerance of containerized services.
Collaboration & Best Practices Work closely with data engineers, analysts, and DevOps teams to deliver robust solutions. Ensure adherence to coding standards, documentation, and best practices. Troubleshoot and resolve production issues in a timely manner.
Required Skills & Experience: Programming & Scripting: Strong experience with Python (data processing, APIs, automation ETL & Data Warehousing: Hands-on expertise with Oracle Warehouse Builder (OWB), Oracle PL/SQL, and data modeling. Kubernetes & Cloud: Experience deploying and managing applications on Kubernetes (AKS, EKS, GKE, or on-prem Databases: Strong SQL and performance tuning skills.
DevOps & CI/CD: Familiarity with Git, Jenkins, Docker, Helm, or similar tools. Problem Solving: Strong debugging, troubleshooting, and performance optimization skills. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.
We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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