Senior Data Engineer

vor 2 Wochen

Frankfurt am Main, Hessen, Deutschland Circunomics Vollzeit
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Circunomics. As a Senior Data Engineer, you will be responsible for designing, developing, and deploying scalable, maintainable, efficient, and reliable applications using Python 3, FastAPI or Flask, with optional use of Angular.

Key Responsibilities
  • End-to-End Development: Design, develop, and deploy scalable applications using Python 3, FastAPI or Flask, with optional use of Angular.
  • Big Data Management: Handle (near) real-time big data environments, managing and processing datasets starting from terabytes with precision and efficiency.
  • ETL Processes: Design, implement, and manage ETL (Extract, Transform, Load) processes to ensure efficient data handling through its entire lifecycle.
  • Performance Optimization: Implement caching services like Redis to improve application performance.
  • Data Pipelines: Develop and manage data pipelines using Airflow.
  • Mentorship: Provide guidance and mentorship to junior developers, fostering a culture of continuous learning and improvement within the team.
  • Architecture & Design: Collaborate with architects and other developers to design robust, high-performance, secure application architectures.
  • Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the successful delivery of features.
  • Code Quality & Best Practices: Write clean, efficient, and well-documented code while setting and maintaining high standards for code quality through code reviews, testing, and automated tooling.
  • Containerization: Containerize applications using Docker and manage container orchestration with Kubernetes.
  • Infrastructure Management: Create and manage infrastructure using Helm Charts and Terraform.
  • Cloud Deployment: Deploy and manage applications on AWS cloud platforms, including S3, ECR, EKS, RDS, and EFS.
  • Data Visualization: Create data visualizations using Plotly.
  • CI/CD Implementation: Implement CI/CD pipelines using GitHub.
  • Troubleshooting & Optimization: Troubleshoot and resolve application issues while optimizing performance.
About You

We are looking for a highly skilled and experienced Senior Data Engineer who has a minimum of 5 to 7 years of professional experience in designing and deploying scalable applications using Python 3, FastAPI, or Flask, and optional familiarity with Angular. You should have a strong track record of managing (near) real-time big data environments, dealing with datasets starting from terabytes, and implementing ETL (Extract, Transform, Load) processes to ensure efficient data handling throughout its lifecycle.

What We Offer
  • Flexible hours.
  • Work-from-home options.
  • Low hierarchies and open feedback culture.
  • Open & international environment.
  • Modern offices are in the city center of Frankfurt.
  • English is the company language and is used in international working environments.
  • Attractive development perspectives with creative freedom for growth.
  • Shape the future circular battery space and the green energy transition.

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