Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Do you have the technical skill to build BI solutions that process billions of rows a day using AWS technologies? Do you want to create next-generation tools for intuitive data access? Do you wake up in the middle of the night with new ideas that will benefit your customers? Are you persistent in bringing your ideas to fruition?
First things first, you know SQL and data modelling like the back of your hand. You also need to know Big Data and MPP systems. You have a history of coming up with innovative solutions to complex technical problems. You are a quick and willing learner of new technologies and have examples to prove your aptitude. You are not tool-centric; you determine what technology works best for the problem at hand and apply it accordingly. You can explain complex concepts to your non-technical customers in simple terms.
Work with SDE teams and business stakeholders to understand data requirements and design data ingress flow for team
Lead the design, model, and implementation of large, evolving, structured, semi-structured and unstructured datasets
Evaluate and implement efficient distributed storage and query techniques
Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources
Implement robust and maintainable code with clear and maintained documentation
Implement test automation on code implemented through unit testing and integration testing
Work in a tech stack which is a mix of NAWS services and legacy ETL tools within Amazon
Data Insights, Metrics & Reporting team (DIMR) is the central data engineering team in Amazon Warehousing & Distribution org which is responsible for 4 things mainly -
Building and maintaining data engineering and reporting infrastructure using NAWS to support internal/external data use-cases.
Building data ingestions pipelines from any kind of upstream data sources which include (but not limited to) real time event streaming services, data lakes, manual file uploads, etc.
Building mechanisms to vend data to internal team members or external sellers with right data handling techniques in place.
Build robust data mart to support diverse use-cases powered by GenAI tool.
1+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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.
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