DESCRIPTION As a data engineer you will be building business pipelines to integrate tech systems to data layer to enable reporting Key job responsibilities Managing AWS resources including EC2 Redshift EMR-Spark etc Collaborate with Product Managers Financial and Business analysts to recognize and help adopt best practices in reporting and analysis data integrity test design analysis validation and documentation Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide recent capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis prediction clustering and machine learning Help 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 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 https amazon jobs content en how-we-hire accommodations for more information If the country region you re applying in isn t listed please contact your Recruiting Partner

📌 Data Engineer, Cross Border Data Engineering (Uttar Pradesh)
🏢 Amazon.com
📍 Uttar Pradesh