Data Engineer I, Translation Services

Amazon, one of the world's most visited sites, is seeking a Data Engineer I for their Translation Services team. This role offers an exciting opportunity to work on large-scale data challenges that impact millions of customers globally. You'll be responsible for building and maintaining data pipelines, designing data schemas, and implementing solutions for complex data warehousing problems.

The position combines technical expertise with business impact, as you'll work closely with analysts, data scientists, and other stakeholders to drive key business decisions through data. You'll be handling everything from ETL pipeline development to performance optimization of database systems, ensuring the efficient processing of millions of data points.

This is an excellent opportunity for a data engineer who wants to make a significant impact at scale. At Amazon, you'll work in a fast-paced environment where ship cycles are measured in weeks, not years. The role requires someone who can manage ambiguity, think big, and is excited about creating new products and features from scratch.

The ideal candidate should have experience with SQL, data modeling, and ETL pipelines. Knowledge of big data technologies like Hadoop, Hive, and Spark is a plus. You'll be joining a company known for its customer obsession and innovation, where your work will directly influence how millions of customers, sellers, and products interact worldwide.

Working at Amazon means being part of a culture that empowers its employees to deliver the best results for customers. The company offers a supportive environment and the opportunity to work on challenging problems that require innovative solutions. If you're passionate about data engineering and want to be part of defining tomorrow's technology landscape, this role offers the perfect platform to achieve those ambitions.