Data Engineer, Modeling and Optimization

Amazon Lab126

Amazon Lab126 is searching for talented data engineers to join their Modeling and Optimization team. This role is essential for enhancing the data infrastructure that supports one of the world's leading logistics systems. With billions of packages managed annually, the team aims to improve decision-making processes through innovative data solutions. This role involves developing end-to-end data engineering solutions from ideation to production deployment.

In this role you can expect to have the responsibilities:

• Identify and address gaps in current data infrastructure.
• Design and maintain modern cloud-based data infrastructures.
• Migrate existing data pipelines to new solutions.
• Extract, transform, and load data from various sources.
• Ensure data integrity and manage AWS resources.
• Promote new technologies and best practices.

This role comes with the following benefits:

• Equity and sign-on payments may be included in total compensation.
• Comprehensive medical and financial benefits.

This role requires you to have:

• 1+ years of experience in data engineering.
• Proficiency in data analysis with Redshift, Oracle, NoSQL.
• Bachelor's degree in computer science, engineering, or statistics.
• Familiarity with distributed systems for data storage and computing.
• Experience in data modeling, warehousing, and ETL pipelines.
• Knowledge of SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala.
• Proficiency in scripting languages such as Python, KornShell.

You would benefit from having:

• Experience with big data technologies including Hadoop, Hive, Spark, EMR.
• Proficiency in using ETL tools like Informatica, ODI, SSIS, BODI, Datastage.

Amazon promotes a diverse and inclusive environment, ensuring equal opportunities regardless of race, gender, or disability status. Compensation varies by market location and is performance-based.