Databricks DATA Enginner

100 - 140 PLN/ godz.B2B (netto)
MidFull-time·B2B
#309522·Dodano około 2 miesiące temu·37
Źródło: Devapo
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Tech Stack / Keywords

DatabricksCloudAzureAzure Data FactoryData LakeApache SparkSQLRelational Databases

Firma i stanowisko

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

At Devapo, we focus on continuous self-development and acquiring new knowledge. If you are a fast learner, want to participate in international projects, are a team player, and can work independently — join us!

We provide our clients with more than just code — we want to equip them with tools that allow their businesses to flourish. Our clients’ success is our success, which is why we ensure that everyone who creates Devapo has a long-term goal in mind.


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

Nice to have:

  • 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

Obowiązki

Key Responsibilities

  • 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

Oferta

  • 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
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