Data Engineer I, IN-Ads

Overview

- 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)
rekindle programNote : For more details on rekindle program, please visit - https://www.amazon.jobs/en/landing_pages/rekindle Amazon’s India Ad Tech organization is seeking a highly quantitative, enthusiastic Data Engineer to drive the development of Ads analytics and insights. Be a part of an innovative and passionate team, responsible for building a successful, sustainable and strategic international business for Amazon, from the ground up. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and partner in developing analytics and insights that global executive management teams and business leaders will use to define Ad strategies and deep dive businesses. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable learn new technologies, exploring new areas and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. You will be working closely with Product managers, program managers, SDEs and UI engineers to build data engineering solution to provide in depth Ad insights, analytics and recommendations and drive India Ad business. Responsibilities include but not limited to: - Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting. - Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. - Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. - Interface with business customers, gathering requirements and delivering complete reporting solutions. - Collaborate with Analysts, Business Intelligence Engineers, SDEs, and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning. - Communicate effectively with product/business/tech-teams/other Data teams.