Databricks & Azure Data Engineer - Data Solutions
Summary
A data engineer designs and develops data solutions for the company's business functions, building Databricks notebooks, Azure Functions APIs, and SQL-based pipelines while collaborating with business teams and data scientists and ensuring quality documentation.
• Design and develop data solutions for the company’s business functions
• Develop Databricks notebooks and APIs using Azure Functions
• Collaborate with business teams and Data Scientists
• Ensure the quality and documentation of developments
Requirements
- Master’s degree (engineering school or university) in Computer Science, Data Science, or Statistics
- 2 to 5 years of experience in a similar Data Engineer role
- Proficient in Python
- Knowledge of Databricks, Azure Data Factory, Azure Functions and Logic Apps
- Experience with Power BI
- Strong SQL skills
- Familiarity with the Azure Cloud ecosystem
- Professional working proficiency in English
Core Competencies
Demonstrates expertise in designing and developing data solutions, with a strong focus on Databricks, Azure Functions, and SQL. Proficient in collaborating with cross-functional teams to ensure quality and documentation of data engineering projects.
Highest-signal resume keywords
- Python Proficiency
- Databricks Development
- Azure Functions Expertise
- Strong SQL Skills
- Power BI Experience
ATS Optimization Keywords
Hard Skills
- Data Engineering
- SQL
- Python
- Databricks
- Azure Data Factory
- Azure Functions
- Logic Apps
- Data Solutions Design
- Data Documentation
- Data Quality Assurance
Soft Skills
- Collaboration
- Communication
Industry Keywords
- Data Science
- Computer Science
- Statistics
Tools & Technologies
- Databricks
- Azure Functions
- Azure Data Factory
- Power BI
- Azure Cloud