Position Details
About this role
This role involves designing and maintaining data pipelines and ETL processes for enterprise data warehouses, leveraging cloud platforms and big data tools to support analytics needs.
Key Responsibilities
- Design and develop ETL processes
- Optimize data pipelines
- Collaborate with data teams
- Support data warehouse performance
- Mentor junior engineers
Technical Overview
Focus on ETL development, data pipelines, data warehouse architecture, big data technologies, cloud platforms like Azure and Databricks, and data management.
Ideal Candidate
The ideal candidate is a mid-level data engineer with over 6 years of experience in ETL development, big data technologies, and data architecture. They are proficient in Java, Python, Scala, and cloud platforms like Azure and Databricks, with leadership skills to mentor teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of ETL or data pipeline experience, No experience with big data tools, Inability to work with cloud platforms, No knowledge of data architecture, Less than 6 years experience
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