Amazon Sr Big Data Engineer Global Finance Technology GFT 

United States, Washington, Seattle 

725231160

Key job responsibilities
- Collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications.
- Design and develop scalable big data pipelines to ingest, transform, and publish large volumes of data efficiently.
- Provide technical leadership and advise senior leadership on strategic areas of focus.
- Diagnose and resolve system and data quality issues.
- Identify architectural bottlenecks and propose effective, long-term solutions.
- Facilitate regular code reviews and architecture discussions to maintain high-quality standards.
- Lead the evaluation and integration of new tools and technologies to enhance the financial planning and analytics environment.
- Mentor junior engineers and drive the successful implementation of projects.A day in the lifeSeattle, WA, USA

- 5+ years of data engineering experience
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with SQL
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering

- Bachelor's degree