Position Details
About this role
This role involves developing and supporting scalable data infrastructure, pipelines, and analytics systems to enhance Amazon's operational efficiency and decision-making capabilities.
Key Responsibilities
- Design data pipelines
- Implement scalable data infrastructure
- Support process optimization
- Develop dashboards and monitoring tools
- Collaborate with engineering teams
Technical Overview
The candidate will work with data warehousing, ETL pipelines, big data tools like Hadoop, Spark, Hive, and scripting languages such as Python and KornShell to build and optimize data systems.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in building scalable data pipelines, warehousing solutions, and proficiency in SQL, Python, and big data technologies like Hadoop and Spark.
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 SQL, ETL, or data modeling, No experience with Hadoop, Spark, or EMR, Insufficient communication skills
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