Databricks Data Engineer

Summary

The Data Engineer will design, implement, and maintain scalable data pipelines and ETL processes within Azure and Databricks environments. The role involves collaborating with cross-functional teams to build big data solutions and ensure high-quality data standards.

Nasze wymagania:

  • Minimum 3 years of experience in a Data Engineer role or similar position
  • Strong knowledge of Azure data services (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake)
  • Extensive experience with Databricks and Apache Spark
  • Proficiency in SQL and experience with relational databases
  • Experience in creating and optimizing data pipelines (ETL/ELT) in cloud environments
  • Strong programming skills in Python, Scala, or Java
  • Experience with Delta Lake architecture and optimization techniques
  • Knowledge of data modeling and schema design

Mile widziane:

  • Experience with Azure DevOps and CI/CD pipelines for data solutions
  • Knowledge of Databricks Delta Live Tables and Databricks workflows
  • Experience with real-time data processing using Azure Event Hubs or Kafka
  • Familiarity with Azure Purview or other data governance tools
  • Databricks or Azure certifications

O projekcie:

We are looking for an experienced Data Engineer responsible for planning, developing, and maintaining cloud environments for our clients.

Zakres obowiązków:

  • Design, implement, and maintain scalable and efficient data pipelines in Azure and Databricks
  • Develop and optimize ETL processes using Azure Data Factory and Databricks
  • Build Big Data solutions aligned with business requirements
  • Collaborate with Data Science, BI, and development teams to ensure high-quality data
  • Monitor performance of data processing systems and implement improvements
  • Implement data security standards and practices
  • Research and evaluate new technologies in the data engineering space

Oferujemy:

  • Salary: 100 - 140 zł/h+ VAT (B2B contract)
  • Co-financing for training and certifications, as well as guaranteed time for learning during working hours
  • Private medical care and a Multisport card
  • Language classes (English)
  • Flexible working hours
  • Team integration meetings and company events
  • Employee referral program with a bonus
  • An individually tailored career development path

See also

Data Engineering jobs by country — openings, pay and top skills →

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