Senior Data Scientist
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SeniorFull-time
#414890·Dodano 8 dni temu·1
Źródło: nofluffjobs.comTech Stack / Keywords
Data engineeringApache AirflowApache SparkPythonSQLGCPdbtAI
Firma i stanowisko
Our client is a technology-focused organisation operating in Krakow, committed to building robust data infrastructure that supports business intelligence and analytics capabilities. They work with modern cloud-based data platforms and are investing in AI-driven workflows to enhance their data processing capabilities. The company values collaboration across engineering teams and maintains a focus on data quality, governance and scalable solutions that support real-time and batch processing needs.
Wymagania
- 4-6 years of experience in data engineering or related field
- Strong experience with Apache Airflow and distributed data processing frameworks like Apache Spark
- Proficiency in Python and SQL for data pipeline development
- Mandatory familiarity with AI-assisted coding tools for day-to-day development
- Experience with GCP data services for managing cloud-based data solutions
- Knowledge of data transformation tools such as dbt
- Experience with streaming systems for real-time data processing
- Exposure to data quality or governance tooling
- Familiarity with analytics or business intelligence use cases
- Understanding of Apache Beam for batch and streaming data processing
Obowiązki
- Work with cutting-edge AI-assisted coding tools in daily development
- Build and operate scalable batch and streaming data pipelines using Apache Spark and Apache Beam
- Collaborate with Analytics and Platform Engineers on cloud-based data solutions
- Gain exposure to data quality, governance tooling and real-time streaming systems
- Join a company investing in advanced GCP data services and modern data infrastructure
Benefity
- Opportunity to work with modern data engineering technologies and AI-assisted development tools
- Collaboration with experienced Analytics and Platform Engineers
- Exposure to cloud-based data solutions, streaming systems, and data governance practices
- Hands-on experience with industry-standard frameworks
- Chance to contribute to scalable data infrastructure supporting critical business intelligence needs
Belvedere Recruitment
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