Amazon.com Services LLC
Technology
DataEngineer,AIRDABI(DataAnalyticsandBusinessIntelligence)
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer, AIR DABI (Data Analytics and Business Intelligence) at Amazon.com Services LLC. Skills: Data Engineering, ETL/ELT, AWS, Generative AI. Design ETL/ELT processes. Implement ETL/ELT processes”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
2+ years data engineering experience, Data modeling experience, Warehousing experience, Building ETL pipelines experience, SQL experience, PL/SQL experience, DDL experience, MDX experience, HiveQL experience, SparkSQL experience, Scala experience, Python experience, KornShell experience, GenAI/LLM tools familiarity
Nice to Have
Data engineer experience, Software engineer experience, Business intelligence engineer experience, Data scientist experience, Manipulating large datasets experience, Processing large datasets experience, Extracting value from large datasets experience, Hadoop experience, Apache Spark experience, Data warehouse technical architecture knowledge, Data warehouse infrastructure components knowledge, ETL knowledge, Reporting tools knowledge, Analytic tools knowledge, Data schema design knowledge, Data schema implementation knowledge, Normalization knowledge, Relational model knowledge, Dimensional model knowledge, Redshift experience, S3 experience, AWS Glue experience, EMR experience, Kinesis experience, FireHose experience, Lambda experience, IAM roles experience, IAM permissions experience, Informatica experience, ODI experience, SSIS experience, BODI experience, Datastage experience
What You'll Do.
Design ETL/ELT processes
Implement ETL/ELT processes
Create data integration solutions
Transform business requirements
Develop data pipelines
Maintain data pipelines
Identify data infrastructure challenges
Resolve data infrastructure challenges
Collaborate with cross-functional teams
Drive data-driven decision-making
Contribute to GenAI infrastructure development
Contribute to data foundations development
Design data architectures
Implement data architectures
Support generative AI applications
Support LLM workflows
Accelerate development
How You'll Work.
Team & Collaboration
Cross-functional teams; Analysts; Business Intelligence Engineers; Data Scientists; SDEs; Business teams
Full Job Description
Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Air! AIR's Data, Analytics and Business Intelligence (DABI) team aims to offer the data infrastructure and data applications, processes, and practices that enable the AIR business to leverage its capacity, speed, quality of service, and organic infrastructure to delight Amazon customers worldwide. We are looking for an experienced, innovative Data Engineer to work in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and love bringing data together to answer business questions. You should have deep expertise in creating and managing datasets and a proven ability to translate data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers, Data Scientists, SDEs, and business teams across the Amazon AIR organization. In this role, you will own end-to-end development of data engineering solutions to complex questions and play a critical role in strategic decision-making. The right candidate will possess excellent technical ability in relational database management systems and database architecture, solid business and communication skills, and the ability to work with business owners to develop and define key business questions, collaborate with external data vendors to onboard new datasets, and analyze data effectively. Key job responsibilities - Design and implement robust ETL/ELT processes using AWS big data technologies - Create scalable data integration solutions that transform complex business requirements into actionable insights - Develop and maintain high-performance data pipelines that support critical business intelligence needs - Proactively identify and resolve data infrastructure challenges to enhance system reliability - Collaborate with cross-functional teams to drive data-driven decision-making strategies - Contribute to the development a
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