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Cloud Data Engineer: Real-Time Data Lakes & ETL on Azure

Sii Poland

Kielce

On-site

PLN 180,000 - 240,000

Full time

30+ days ago

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Job summary

A leading technology consulting company is seeking a Data Engineer in Poland to develop scalable Data Lake solutions. The ideal candidate should have at least 4 years of experience in data processing with strong skills in SQL and Python. This role requires fluency in Polish and encompasses responsibilities like creating ETL pipelines and collaborating with data analysts. Benefits include professional development opportunities and a supportive work environment.

Benefits

Great Place to Work
Solid financial situation
Contracts with big brands
Centre of internal trainings
Many experts to learn from
Open management team
Profit sharing
Passion Sponsorship program
Regular integration events
Comfortable offices
MySii app
Medical care

Qualifications

  • Min. 4 years of experience in processing high volumes of data.
  • Very good knowledge of SQL and Python.
  • Experience in building Data Lake and DWH solutions.
  • Knowledge of ETL process and related tools (SSIS, ADF, IPC).
  • Commercial experience using Azure Databricks.
  • Ability to communicate freely in English.
  • Fluency in Polish required.
  • Residence in Poland required.

Responsibilities

  • Building and developing scalable, real-time Data Lake solutions.
  • Creating ETL pipelines from various data sources.
  • Data modeling and processing based on business needs.
  • Monitoring solutions and proposing improvements.
  • Gathering requirements and proposing technology solutions.
  • Preparing technical documentation.
  • Working closely with data analysts.
  • Supporting less experienced colleagues.

Skills

SQL
Python
Spark/PySpark
ETL Processes
Azure Databricks
Data Lake Solutions
Data Warehouse Solutions
Job description
A leading technology consulting company is seeking a Data Engineer in Poland to develop scalable Data Lake solutions. The ideal candidate should have at least 4 years of experience in data processing with strong skills in SQL and Python. This role requires fluency in Polish and encompasses responsibilities like creating ETL pipelines and collaborating with data analysts. Benefits include professional development opportunities and a supportive work environment.
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