
DataFlow Engineer
Mindbox Sp. z o.o.
Wynagrodzenie
22000 - 26000 PLN / HOUR
Lokalizacja
Kraków+1
Tryb pracy
Hybrydowa
Rodzaj umowy
B2B
B2B
Hybrydowa
Dataflow Engineer
Python
Java
Google Dataflow
Google Cloud Platform
ETL
SQL
NoSQL
Status
Hexjobs Insights
DataFlow Engineer role focusing on data pipeline design, integration, and optimization. Requires 4+ years experience, proficiency in Python and Java, and expertise in Google Cloud.
Słowa kluczowe
Dataflow Engineer
Python
Java
Google Dataflow
Google Cloud Platform
ETL
SQL
NoSQL
Benefity
- Elastyczny model współpracy
- Hybrdowe ustawienie pracy
- Kultura współpracy w zespole
- Dostęp do platform szkoleniowych i możliwości rozwoju
- Kompleksowe benefity
- Wysokiej jakości sprzęt
Technologies we use
About the project
Your responsibilities
- Design and Build Data Pipelines: Develop and implement efficient data pipelines for collecting, transforming, and storing data across different platforms.
- Data Integration: Integrate data from various sources, including cloud platforms (Google Cloud), databases (SQL/NoSQL), APIs, and external services.
- Optimize Data Flow: Troubleshoot and fine-tune existing pipelines for optimal performance.
- Data Transformation: Implement ETL processes to transform raw data into usable formats for analytics and reporting.
- Collaboration: Work with cross-functional teams to understand data needs and implement solutions; provide occasional support during weekends or non-office hours.
- Automation & Scalability: Build scalable, automated workflows to handle large volumes of data with high reliability and low latency.
- Monitoring & Maintenance: Set up monitoring and alerting systems for data pipelines to ensure minimal downtime and maximum performance.
- Documentation: Document data flows, pipeline configurations, and processing logic for maintainability and transparency.
- Note: Detailed project information will be shared during the recruitment process.
Our requirements
- Experience: 4+ years as a Dataflow Engineer, Data Engineer, or similar role working with large datasets and distributed systems.
- Proficiency in Python and Java.
- Hands-on experience with Google Dataflow and orchestration tools.
- Expertise in Google Cloud Platform (BigQuery, Dataflow).
- Strong experience with ETL frameworks, real-time data streaming, and processing.
- Familiarity with data formats like JSON, Parquet, etc.
- Knowledge of SQL and NoSQL databases, data governance, quality, and security best practices.
- Problem-Solving: Ability to troubleshoot complex data integration and processing issues.
- Communication: Strong written and verbal communication skills for collaboration with technical and non-technical stakeholders.
This is how we organize our work
This is how we work
This is how we work on a project
What we offer
- Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
- Hybrid work setup – remote days available depending on the client’s arrangements
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Benefits
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Wyświetlenia: 5
| Opublikowana | 8 dni temu |
| Wygasa | za 22 dni |
| Rodzaj umowy | B2B |
| Tryb pracy | Hybrydowa |
| Źródło |
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