Amazon
Data Engineer, OTS DataTech & Learning Solutions
Amazon, Austin, Texas, us, 78716
Data Engineer, OTS DataTech & Learning Solutions
Job ID: 2819528 | Amazon.com Services LLCAt 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 supports OTS-wide data and analytics efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.
Key job responsibilitiesAs a 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 and process data from diverse data sources, create data lakes, enable seamless data publish and subscribe, and facilitate self-service analytics for business metrics reporting. You will participate in the automation of data governance processes and data quality monitoring, and support data needs for AI/ML capabilities.
A day in the lifeOn a day to day basis, you will build and operate a highly scalable data mesh infrastructure and data lake that hosts OTS data and provide access through Data as a Product.BASIC QUALIFICATIONS
- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)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 https://www.amazon.jobs/en/disability/us.
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Job ID: 2819528 | Amazon.com Services LLCAt 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 supports OTS-wide data and analytics efforts, including generative AI and machine learning capabilities to fuel innovation and automation across the OTS product portfolio.
Key job responsibilitiesAs a 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 and process data from diverse data sources, create data lakes, enable seamless data publish and subscribe, and facilitate self-service analytics for business metrics reporting. You will participate in the automation of data governance processes and data quality monitoring, and support data needs for AI/ML capabilities.
A day in the lifeOn a day to day basis, you will build and operate a highly scalable data mesh infrastructure and data lake that hosts OTS data and provide access through Data as a Product.BASIC QUALIFICATIONS
- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelinesPREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)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 https://www.amazon.jobs/en/disability/us.
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