Data Engineer I

• Amazon strives to be the worlds most customer-centric company, where customers can research and purchase anything they might want online
• We set big goals and are looking for people who can help us reach and exceed them
• The CPT Data Engineering & Analytics (DEA) team builds and maintains critical data infrastructure that enhances seller experience and protects the privacy of Amazon business partners throughout their lifecycle

We are looking for a strong Data Engineer to join our team

• The Data Engineer I will work with we'll-defined requirements to develop and maintain data pipelines that help internal teams gather required insights for business decisions timely and accurately
• You will collaborate with a team of Data Scientists, Business Analysts and other Engineers to build solutions that reduce investigation defects and assess the health of our Operations business while ensuring data quality and regulatory compliance
• The ideal candidate must be passionate about building reliable data infrastructure, detail-oriented, and driven to help protect Amazons customers and business partners
• They will be an individual contributor who works effectively with guidance from senior team members to successfully implement data solutions
• The candidate must be proficient in SQL and at least one scripting language (eg Python, Perl, Scala), with strong understanding of data management fundamentals and distributed systems concepts
• Build and optimize physical data models and data pipelines for simple datasets
• Write secure, stable, testable, maintainable code with minimal defects
• Troubleshoot existing datasets and maintain data quality
• Participate in team design, scoping, and prioritization discussions
• Document solutions to ensure ease of use and maintainability
• Handle data in accordance with Amazon policies and security requirements 1+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (eg, SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (eg, Python, KornShell)
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc