
Senior Python Developer @ ITDS
19 hours ago
You're ideal for this role if you have:
- 7+ years of professional software engineering experience
- 4+ years of production experience with Python 3.x
- Strong knowledge of FastAPI, Pydantic, and asynchronous programming
- Proven expertise in SQL, data modeling, and BigQuery optimization
- Hands-on experience with GCP services (Pub/Sub, Cloud Functions, Cloud Storage, IAM)
- Track record designing and operating high-load distributed systems
- Experience with ETL processes and orchestration tools like Airflow
- Familiarity with CI/CD pipelines and automation practices
- Excellent communication and ownership skills in cross-functional environments
- Strong focus on security best practices and data protection
Nice-to-have skills:
- File parsing at scale (CSV/Excel/XML), schema evolution/versioning
- Data quality frameworks (assertions, expectations), dbt/Dataform familiarity
- Event-driven or streaming backgrounds; Beam/Dataflow experience
- Concurrency/performance profiling in Python (asyncio, multiprocessing)
- IaC (Terraform), SRE practices
Engineer the Backbone of Modern Data Solutions
Warsaw-based opportunity with the possibility to work fully remote
As a Senior Python Developer, you will be working for our client, a global leader in life sciences dedicated to advancing healthcare and agriculture. You will contribute to a large-scale project that focuses on building and maintaining high-performance data-driven platforms, leveraging modern cloud technologies to process and analyze vast amounts of critical information. This position offers the opportunity to influence architecture, improve data pipelines, and drive innovation in environments with high demands on scalability and performance, all while ensuring compliance with industry standards and best practices in software engineering.
Your main responsibilities: Design and implement scalable backend services with Python 3.x
,[Develop secure REST APIs using FastAPI and Pydantic, Optimize SQL queries and design efficient data models in BigQuery, Build and maintain ETL pipelines with orchestrators such as Airflow, Integrate and manage solutions within GCP services like Pub/Sub, Cloud Functions, and Cloud Storage, Ensure cost-effective cloud resource usage through monitoring and tuning, Collaborate with teams to define technical designs, RFCs, and runbooks, Implement robust authentication, authorization, and security practices, Handle high-load system design challenges such as throughput and backpressure, Support CI/CD pipelines and automation with Cloud Build or equivalent tools] Requirements: Python, FastAPI, SQL, BigQuery, GCP, PUB, Cloud, Storage, IAM, ETL, Airflow, CI/CD, CSV, Excel, XML, dbt, IaC, Terraform, SRE Additionally: Sport subscription, Private healthcare.-
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