Description Are you a data engineer eager to make a meaningful impact while developing your technical skills Join the Seller Fees Tech organization at Amazon and contribute to critical systems that enable millions of entrepreneurs worldwide to build successful businesses on our platform As a DE 1 on our Expansions team you will support the data infrastructure needs of seller fee systems that power Amazon s marketplace operations across the globe In this role you will help scale our existing data infrastructure incorporate current marketplace data sources and build data pipelines for production-level fee processing systems that serve sellers worldwide Working alongside SDEs product and business teams you will solve business questions about global expansion and marketplace operations through data-driven solutions You ll gain hands-on experience with large-scale distributed data systems high-volume transaction data and the challenges of building data platforms that support Amazon s expansion into new markets Above all you should be passionate about working with data to answer business questions and drive growth Key job responsibilities Develop and support ETL pipelines with robust monitoring and alarming Develop data models that are optimized for business understand-ability and usability Develop and optimize data tables using best practices for partitioning compression parallelization etc Develop and maintain metadata data catalog and documentation for internal business customers Help internal business customers troubleshoot and optimize SQL and ETL solutions to solve reporting problems Work with internal business customers and partner technical teams to gather and document requirements for data publishing and consumption Basic Qualifications - 1 years of data engineering experience - 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 Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information If the country region you re applying in isn t listed please contact your Recruiting Partner

📌 Data Engineer I (Bengaluru)
🏢 Amazon
📍 Bengaluru