Big Data Engineer for Supply Chain Analytics

7 days ago


Warszawa, Mazovia, Czech Republic beBee Careers Full time

We are looking for a highly skilled data engineer to drive and support data ingestion, staging, processing, and serving using MS Azure services. As a key member of our team, you will be responsible for designing, developing, and maintaining big data (ELT/ETL) pipelines for business intelligence and statistical modeling purposes.

Key Responsibilities
  • Designing and developing efficient data pipelines to transform and load data into cloud-based storage systems
  • Maintaining data quality and integrity by ensuring data consistency, accuracy, and security
  • Configuring and managing data storage systems, including SQL databases and data lakes
  • Collaborating with cross-functional teams, including BI analysts, data scientists, ML engineers, and core IT to deliver value through data solutions

The ideal candidate will have hands-on experience with Azure data components, including Data Factory, Synapse, Data Lake, Blob Storage, SharePoint, and Databricks. They will also have expertise in building ETL/ELT pipelines in Azure, particularly ADF, as well as strong proficiency in version control and CI/CD pipelines using Azure DevOps or similar tools.

Requirements
  • Azure Data
  • ETL
  • Azure
  • ADF
  • CICD
  • Azure DevOps
  • Data management
  • Python
  • Snowflake
  • SAP
  • BI tools
  • PySpark
  • Scala


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