Position Details
About this role
Seeking a data engineer to develop and optimize data pipelines and analytics solutions across cloud platforms, supporting retail and AI projects.
Key Responsibilities
- Design data pipelines
- Build data lakes and warehouses
- Implement ETL processes
- Collaborate on cloud data solutions
- Optimize data storage and processing
Technical Overview
Role involves designing data warehouses, lakes, and pipelines using Azure Data Factory, AWS Glue, Databricks, Spark, and SQL, with a focus on data modeling, security, and cloud integration.
Ideal Candidate
The ideal candidate is an experienced data engineer with proficiency in cloud data platforms like Azure and AWS, skilled in building data pipelines, data lakes, and data warehouses, with knowledge of Spark and ETL processes. They are motivated team players capable of working on large-scale data projects.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Azure Data Factory or AWS Glue, No knowledge of Spark or SQL, Inability to work with cloud data storage solutions
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile