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Are you interested in helping build a world-class transportation network for Amazon as we delight our customers with more 1 day promises and also meet our sustainability targets Do you want to develop data infrastructure to influence the network design of one of the most complex transportation network in the world
The Data Engineer II in the Network Design Planning & Engineering (NDPE) team within the Global Transportation Services (GTS) organization holds the responsibility for building data engineering solutions that facilitate model developments, to propose designs that reduce cost to serve and improve customer speed.
Key job responsibilities
Design and implement data pipelines for the different Network design programs.
Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows.
Identify the business needs for design scenario analysis, formulate data architecture strategies, and develop a user-friendly platform for NDPE program managers to perform what-if analysis.
Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements.
Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements
Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.
Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code deployment and code maintenance.
Key job responsibilities
Design and implement data pipelines for the different Network design programs.
Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows.
Identify the business needs for design scenario analysis, formulate data architecture strategies, and develop a user-friendly platform for NDPE program managers to perform what-if analysis.
Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements.
Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements
Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.
Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code deployment and code maintenance.
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 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)
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Job ID: 149297769
Skills:
snowflake , Kafka, Tableau, JIRA, Confluence, Kinesis, Docker, Terraform, Python, AWS, BigQuery, Power Bi, Cloudformation, Apache Spark, Redshift, Sql, Git, Spark Streaming, Gcp, Azure, Kubernetes, Apache Iceberg, Airflow, Flink, Beam, Trino, Looker
Skills:
bedrock , S3, Kafka, Emr, CDK, Redshift, Sql, Kinesis, Terraform, Python, AWS, Flink, SageMaker, Neptune, infrastructure-as-code, Glue
Skills:
BigQuery, Data Modelling, Sql, Rest Api, Cloud Storage, Numpy, Git, Pandas, Gcp, Python, Etl, Data Lake Design, CI CD, CloudRun, Secret Manager, API integrations
Skills:
graph databases , data engineering , object storage , Sql, Data Modeling, AWS Glue, Python, Warehousing, non-relational databases, ETL pipelines, column-family databases, IAM roles and permissions, key-value stores
Skills:
Agile Development, Automated Testing, Microservices, Typescript, Python, AWS, Java, Apis, Gcp, Azure, embeddings, OpenAI tools, Go, vector databases, semantic search, RAG architectures, LangChain, MCP agent frameworks, AI development frameworks, Source Control, cloud environments, CI CD pipelines, LlamaIndex, Generative AI applications
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