Senior Python Developer - Full-Stack - Data / Analytics / AI Solutions

Python solution architect & developer. On-prem, cloud-native, hybrid on AZ, GCP, AWS. Focus on data-/analytics-/AI-driven applications, backends or libraries. Strong background in modern data technologies, ML, AI and LLMs.

• Cloud (allg.)
• Container Management
• Data Science
• Data Warehousing
• Large Language Models
• Natural Language Processing
• Python
• Software Architecture
• Softwareentwicklung (allg.)

Expert Python architect, full-stack developer, project lead and/or coach. Full scope from non-technical business requirements up to auto-scaling operations (if required). All size and complexity levels.

Focus on data-driven analytical applications, backends, (web)services and/or libraries, leveraging the modern and high-performance Python stack, if required, extended with Rust, C or C++.

If required, access to top-level nearshore resources (up to 30 FTE) for larger projects or cost-efficient maintenance.

Languages:
- primary: Python
- secondary (to extend Python): Rust, C++, C
- others: TypeScript, JavaScript, C#, Java etc.
- database: SQL, T-SQL, P-SQL, MDX, DAX, Cypher etc.

Architecture:
- backend: FastAPI, flask, Django, Node, serverless (on-prem & cloud) etc.
- frontend: Web, QT, tkinter, Anvil, Reflex, JustPy, Dash etc.
- environment: Docker, Podman, Kubernetes, Note: access to "true" Kubernetes experts (not me)

Data:
- classic: Oracle, MS-SQL, PostgreSQL, MySQL, Maria, Mongo, Redis, HANA etc.
- modern: Iceberg, Delta, Trino, file-based (parquet) etc.
- graph: neo4j, ArangoDB, TigerGraph, PostgreSQL
- cloud: Big Query, ADLS, Athena, Databricks, Snowflake, Redshift etc.
- Python: Spark, SQLite, DuckDB, Arrow, Pandas, Numpy, PolaRS etc.

Analytic, ML, AI:
- whatever is required or of advantage...
- primarily: numpy, SciPy, Scikit-learn, Tensor-Flow, Keras, Prophet, XG-Boost etc.
- visualization: Matplotlib, seaborn, plotly, plotly-dash, D3js etc.
- LLM: OpenAI, Meta Llama