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Amazon
Amazon is seeking a talented Data Engineer II to join our team. In this role, you will design, build, and optimize data infrastructure that enables data-driven decision making across the organization. You'll work autonomously on complex data challenges while collaborating with cross-functional teams to deliver high-quality data solutions.
Key job responsibilities
Design, build, and optimize logical data models and data pipelines for complex datasets
Own ongoing data quality and create self-service access to datasets for business intelligence
Work on major portions of existing or new data architecture within the team
Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions
Write secure, stable, testable, and maintainable code with minimal defects
Apply appropriate data design approaches and make judicious trade-offs without over-engineering
Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure
Participate actively in code reviews, design discussions, and team planning
Mentor and train junior team members and new peers
Resolve root causes of complex problems and balance customer requirements with team needs
Stay current on distributed systems technologies (MapReduce, MPP architectures, NoSQL databases)
A day in the life
As a DE II, you'll leverage your expertise in distributed systems and data technologies to solve difficult problems and contribute meaningfully to the team's data architecture while maintaining high standards of operational excellence.- Bachelor's degree in computer science, engineering, mathematics or equivalent, or Bachelor's degree
- 3+ years of data engineering experience
- Experience in one or more scripting languages (e.g., Python, Ruby, Perl)
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in web security and experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications
- Knowledge of distributed, multi-tiered systems, algorithms, and relational databases
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
- Experience including, building and maintaining data flows and pipelines
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