Data Engineer , WWGS GRIT

## Responsibilities - 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 ## Requirements - 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) ## Nice to Have - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. ## Benefits - Opportunity to work on complex, high-impact data challenges in a fast-paced environment where your contributions directly influence how millions of customers shop for groceries. - Collaborative, curiosity-driven environment where everyone's ideas matter. - Culture values ownership, learning, and transparency. - Celebrate wins together, share knowledge openly, and support each other through challenges. - Invest in your growth and trust you to make an impact from day one.