Senior Software Engineer (Data Pipeline)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (Python/Spark): Building and optimizing end-to-end data platform capabilities for ingestion, processing, and publishing with an accent on scalability, reliability, and observability. Focus on designing large-scale data pipelines, solving complex performance bottlenecks, and implementing durable technical solutions for business and analytical needs.
Location: Prague, Czech Republic
Company
is a digital accelerating company providing digital transformation and technology services across various industries, including banking, insurance, retail, and healthcare.
What you will do
- Own and deliver complex end-to-end data platform capabilities from ingestion and processing through publishing.
- Act as a senior technical contributor for the data layer, influencing architecture decisions and ensuring product alignment.
- Design and evolve highly scalable, reliable, and observable data pipelines.
- Lead the resolution of complex technical problems, including performance bottlenecks and production incidents.
- Maintain high engineering standards for pipeline development, testing strategies, and operational excellence.
- Mentor other engineers through code reviews, design discussions, and knowledge sharing.
Requirements
- Extensive professional experience building and operating production-grade systems in Python.
- Advanced SQL expertise, including query optimization and modeling for very large datasets.
- Proven experience designing and delivering large-scale data pipelines or data platform components.
- Strong working experience with Databricks or similar Spark-based data processing platforms.
- Ability to own systems in production, including observability, troubleshooting, and incident response.
- English: Excellent written and verbal communication skills required.
Nice to have
- Experience with workflow orchestration tools such as Airflow.
- Prior experience working in analytics, economic data, or large-scale data products.
Culture & Benefits
- Permanent employment contract.
- Opportunity to provide technical leadership in a complex problem space.
- Culture of mentorship and high engineering standards.
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