🇺🇦Ukraine, Kyiv
Last Update Last Updated: March, 2025

⛔ This job is currently unavailable

Data Engineer (Python, Azure)

Data Engineer, Data Extraction and ETL.

Middle
B1 (Intermediate)

Required Skills

DWH
Data Platform
SQL
SQL
Python
Python

Nice to Have

Databricks
Databricks
Azure Data Factory
Azure Data Factory
Fabric
AWS Glue
AWS Glue
Apache Spark
Apache Spark
ETL
ETL
CI/CD
CI/CD
API
API
GitLab
GitLab
Atlassian Confluence
Atlassian Confluence
Jira
Jira
Azure
Azure

Summary

- Experience at least 3 years in DWH, Data Platform development
- Good knowledge of SQL, Python
- Experience working with at least one of the next technological stacks: DataBricks, Data Factory, Fabric, AWS Glue, Apache Spark.
- Experienced development of REST APIs
- Experience in GitLab, JIRA, Azure DevOps; 
- Intermediate English

Are you a talented developer looking for a remote job that lets you show your skills and get decent compensation? Join Upstaff.com, a platform that connects you with hand-picked startups and scale-ups in the US and Europe.

Requirements 

  • Bachelor’s degree in Computer Science or Technical degree. 
  • Experience at least 3 years in DWH, Data Platform development. 
  • Familiarity with data architecture, data modeling concepts. 
  • Good knowledge of SQL, Python.
  • Experience working with at least one of the next technological stacks: DataBricks, Data Factory, Fabric, AWS Glue, Apache Spark.
  • Readiness to master new technologies and tools.
  • Experienced development of REST APIs
  • Experience in GitLab, JIRA, Azure DevOps; 
  • High level of soft skills, work, and professional ethics.
  • English — at least Intermediate. 

Responsibilities 

  • Eliciting and gathering requirements, description of the requirements
  • Data model creation
  • ETL Pipelines & CICD
  • Definition and configuration and development of ETL pipelines
  • Preparation of data for quality assurance
  • Automation of deployment and test processes
  • Creation of documentation in Confluence and GitLab
  • API's creation
  • Testing the developed solutions
  • Maintenance the solution

How to Apply for Data Engineer (Python, Azure)

Be ready for the next steps:

  • Create your profile on our website (import from LinkedIn)
  • 20-30-minute screening call
  • Technical interview feedback
  • Project Selection (we are looking for the best project for you).

Who can apply:

  • We work with developers across Europe, LATAM, the U.S. (W-9 form owners), Canada, Asia, Oceania, and the UK.
  • We do not provide visa assistance, and this cooperation model does not include direct-hire benefits.
  • We cannot accept applicants from Russia, Belarus, Iran, or North Korea.
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