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Strong Middle Data Engineer

SigmaSoftware2
1h 29m ago
On-site
Full Time
IC
Poland
  • Design and develop scalable, reliable data platforms and pipelines for analytics and operations
  • Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks)
  • Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage)
  • Model data to support analytics, reporting, and downstream consumption
  • Integrate and process data from multiple sources ensuring quality and consistency
  • Monitor and optimize pipeline performance, ensuring reliability and scalability
  • Collaborate with analysts, scientists, and engineers to translate requirements into solutions
  • Improve data engineering standards, testing, and operational reliability
  • Evaluate and introduce new tools and technologies in the data engineering ecosystem
  • 4+ years of hands-on experience in data engineering or building data processing platforms
  • Strong SQL skills and solid Python experience for pipeline development
  • Experience with distributed processing frameworks (Apache Spark/pySpark, Databricks preferred)
  • Practical experience designing and implementing pipelines in cloud environments (Azure preferred)
  • Experience with production-scale analytical systems and data modeling
  • Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles
  • Experience with modern data lake architectures and formats (Parquet, JSON)
  • Familiarity with workflow orchestration tools (Airflow)
  • Experience with database development and optimization
  • Ability to design scalable solutions with minimal supervision
  • Strong collaboration and communication skills
  • Professional proficiency in English

Required Skills

pythonsqlsparkdatabricksazureairflow

Required Languages

🇬🇧 English

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1h 29m ago

Strong Middle Data Engineer

SigmaSoftware2
pythonsqlsparkdatabricksazure+1
🏢On-site
|Poland
General Data Engineering
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