Intermediate Data Engineer - PT Freelance - Worldwide

Key Responsibilities:

• Data Pipeline Maintenance: Ensure seamless operation of data pipelines.
• ETL Processes: Design and optimize complex ETL workflows for integrating diverse data sources.
• Data Engineering: Deliver scalable, efficient data solutions.

Data Sources You'll Work With:

• SQL Databases: Proficiency required.
• External APIs: Handle data extraction from OData services and REST APIs.

Required Skills & Tools:

• Azure Data Factory: Hands-on experience in creating and managing pipelines.
• Microsoft Fabric: Advanced knowledge is preferable, but experience in Databricks or similar is also okay.
• Python: Strong skills for data manipulation and scripting.
• Additional Tools: Experience with MySQL/MariaDB, Google BigQuery, and flat file formats like Excel/CSV is a plus.
• English or German-speaking

What We're Looking For:

• Analytical Mindset: Ability to structure complex tasks and ensure high-quality results.
• Collaboration: Strong communication skills and a team-oriented approach.
• Proven Track Record: Demonstrable experience in maintaining and developing BI architectures using Microsoft technologies.

Project Details:

Duration: Long-term engagement (> 12 months)
Estimated Workload: 4-6h per day, Monday - Friday
Location: Fully remote work is possible