Software Integration Engineer (f/m/d), Lyon

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Your roles and responsibilities

• Identifies, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-design infrastructure for greater scalability;
• Creates and maintains optimal pipeline architecture;
• Skilled in data pipeline, event driven systems and workflow management tools (e.g., Airflow, DataBricks, Kafka, Kinesis, etc.);
• Supports the development of continuous integration/deployment processes and infrastructure;
• Experience with distributed databases and NoSQL databases like, MongoDB, and GraphDB's, and Object stores like Blob or s3;
• Comfortable using SQL and Spark;
• Architects, builds, and manages a robust, scalable, data pipeline in a hybrid cloud environment that provides data processing capabilities to meet functional / non-functional business requirements;
• Builds services and tools to make data more accessible to all data consumers (tools such as searchable metadata, API gateway);
• Works with the platform development team to design & use tools for data logging and repeatable data tasks to accelerate and automate data science tasks;
• Skilled using infrastructure-as-code (Terraform or Cloud Formation);
• Proficiency in container orchestration with Fargate or Kubernetes;
• Responsible for teaching, educating and norming other engineers and data scientists to enterprise cloud practices;
• Supports software architecture decisions by writing, maintaining, and reviewing software code and ensures the code quality by automated testing;
• Deliver standardized solutions that are tested, robust, validated, automated, and integrated;
• Influence, collaborate, and promote usage of evolving data science and architectural solutions;

Who you are

• Extensive experience in computer science, information systems, data science, software engineering or system operations;
• Profound experience in AWS cloud architecture, data science, business intelligence or equivalent areas;
• Builds an infrastructure required for optimal access integration and deployment from a wide variety of applications, services, models and data;
• Builds API integration services using REST, GraphQL, RPC & SOAP;
• Experience with Python and other data science languages (R or Juia);
• Strong capability to manage implementation and maintenance of cloud architecture concepts and related platforms and pipelines;
• Competent in system operations and microservice design techniques;
• Proficient use of version control systems (e.g., GitHub, etc.);
• Container (e.g. Docker) creation, management, debugging and deployment;
• Excellent interpersonal communication skills;
• Ability to solve problems in a team environment;
• Ability to reach out when needed for guidance on projects;
• Ability to relay technical knowledge to non-technical stakeholders;
• Ability to set expectations in a meaningful and concise manner;
• Communicate effectively across a diverse range of technical and non-technical backgrounds;
• Expertise in cloud network security and cybersecurity fundamentals, security groups, DNS, routing tables, peering, VPCs and API gateways