Description Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas. The Product Assurance, Risk & Security (PARS) organization exists to keep our customers and partners safe, protect associates, and ensure legal and regulatory compliance. Compliance Operations (C-Ops) is the operational arm of the organization. The team partners with worldwide program teams to classify products and ensure Amazon’s product listings follow regulatory and legal compliance guidelines. C-Ops supports regulatory compliance requirements for Amazon’s worldwide programs such as Restricted Products, Dangerous Goods, Global Trade Services, Product Assurance, Food Safety and Product Safety. C-Ops has offices across India, China, Poland, Romania, Netherlands, Jordan, and Costa Rica and supports compliance related needs for worldwide Amazon marketplaces. We are looking for an exceptional Data Engineer who is passionate about raising the performance bar, who has the ability to drive new innovations in the compliance industry to join us. The ideal candidate will possess both an engineering background and a demonstrated ability to think broadly and strategically about data infrastructure related initiatives. She/he will experience a wide range of problem solving situations, strategic to real-time, requiring extensive use of data collection and analysis. Key job responsibilities · Lead architecture design and implementation of next generation BI solutions. ·Manage AWS resources including EC2, RDS, Redshift, Kinesis, firehose, IAM, Athena, EMR, Lambda etc. · Mentor and develop other DE's and BIE's. · Build and deliver high quality data architecture and pipelines to support business analyst, BIE, data scientists, and customer reporting needs. · Interface with other technology teams to extract, transform, and load data from a wide variety of data sources. · Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Basic Qualifications - 1+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.