Amazon
Sr Data Engineer, OTS DataTech & Learning Solutions
Amazon, Austin, Texas, us, 78716
Sr Data Engineer, OTS DataTech & Learning Solutions
At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.The OTS DataTech team drives the enterprise data strategy, focusing on Data as a Product and supporting OTS-wide efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.Key Job Responsibilities
As a Sr Data Engineer on the DataTech team, you will play a critical role in designing and building the foundational data infrastructure components that empower OTS product teams with business critical metrics. You will develop systems and tools to ingest data from diverse data sources, enable seamless data publish, subscribe, and self-service analytics for business metrics reporting. You will participate in the automation of data governance and data quality monitoring processes, supporting data needs for AI/ML and Gen AI capabilities.A Day in the Life
On a day-to-day basis, you will build and operate a highly scalable data mesh infrastructure that supports data needs for the OTS organization through self-service Data as a Product.Minimum Requirements
5+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesExperience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience operating large data warehousesExperience developing on AWS EMR, Glue, Airflow, etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
this link .
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At OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon’s global Operations.The OTS DataTech team drives the enterprise data strategy, focusing on Data as a Product and supporting OTS-wide efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.Key Job Responsibilities
As a Sr Data Engineer on the DataTech team, you will play a critical role in designing and building the foundational data infrastructure components that empower OTS product teams with business critical metrics. You will develop systems and tools to ingest data from diverse data sources, enable seamless data publish, subscribe, and self-service analytics for business metrics reporting. You will participate in the automation of data governance and data quality monitoring processes, supporting data needs for AI/ML and Gen AI capabilities.A Day in the Life
On a day-to-day basis, you will build and operate a highly scalable data mesh infrastructure that supports data needs for the OTS organization through self-service Data as a Product.Minimum Requirements
5+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesExperience with big data technologies such as: Hadoop, Hive, Spark, EMRExperience operating large data warehousesExperience developing on AWS EMR, Glue, Airflow, etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
this link .
#J-18808-Ljbffr