Data Engineer , WWGS GRIT

Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources into Amazon's data warehouse and data lake environments. Build and optimize data models that support reporting, analytics, and machine learning use cases across WWGS domains. Write efficient and well-structured SQL queries and scripts to process large-scale datasets. Monitor, troubleshoot, and resolve data pipeline failures to ensure data availability and reliability within defined SLAs. Collaborate with Business Intelligence Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. Implement data quality checks, validations, and alerting mechanisms to ensure accuracy and completeness of data. Develop and maintain technical documentation for data pipelines, data models, and system architecture. Participate in code reviews and contribute to engineering best practices within the team. Support the automation of manual data processes to improve operational efficiency. Work with big data technologies (Spark, Hive, EMR) and AWS services to build performant data infrastructure at scale 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.

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.