DataFlow Engineer

DataFlow Engineer

Mindbox Sp. z o.o.

Gehalt
22000 - 26000 PLN / HOUR
Standort
Arbeitsmodus
Hybrid
Art des Vertrags
B2B

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.

Schlüsselwörter

Dataflow Engineer
Python
Java
Google Dataflow
Google Cloud Platform
ETL
SQL
NoSQL

Vorteile

  • 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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Aufrufe: 6
Veröffentlichtvor 9 Tagen
Läuft abin 21 Tagen
Art des VertragsB2B
ArbeitsmodusHybrid

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