Data Engineer II, GTS, GTS
ADCI HYD 13 SEZ•4h ago
IN, TS, HyderabadOnsiteFull-timeMid Level3+ yrs exp
Top focus
Data EngineerVp DataData Warehouse Engineer
- 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
- 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
- storage requirements. Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format
- 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
- 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
- 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
- storage requirements. Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format
- 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
- 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
- IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Required skills
PythonSQLAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambda