Come and be part of the International Seller Services (ISS) Central Analytics Data Engineering (DE) team and work on solving problems!
We are a team of Data Engineers supporting Applied Scientists, Data Scientists, and Economists who experiment, research, and turn machine learning, deep learning, and AI research into great products for our customers.
ISS is seeking a smart, highly motivated, and experienced Data Engineer to join our team. In this role, you'll help create the right Data and ML infrastructure.
As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
You should be passionate about working with large datasets and experienced in organizing and curating data for analytics. You should have a strategic, long-term view on architecting advanced data ecosystems.
You should have experience in building efficient and scalable data services and integrating data systems with AWS tools and services to support various customer use cases and applications.
Key Job Responsibilities
1. Provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions.
2. Work with large datasets, focusing on organization and curation for analytics with a long-term architectural perspective.
3. Build efficient, scalable data services and integrate data systems with AWS tools and services.
4. Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
5. Implement data ingestion routines using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and big data tools.
6. Gather business and functional requirements and translate them into robust, scalable, and adaptable data architectures.
7. Collaborate with engineers to adopt best practices in data system creation, data integrity, testing, analysis, validation, and documentation.
8. Identify opportunities for improvements in existing data solutions.
Minimum Requirements
* 1+ years of data engineering experience.
* Experience with data modeling, warehousing, and building ETL pipelines.
* Proficiency in query languages such as SQL, PL/SQL, HiveQL, SparkSQL, or Scala.
* Experience with scripting languages like Python or KornShell.
* Knowledge of writing and optimizing SQL queries for large-scale, complex datasets.
* Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
* Experience with ETL tools like Informatica, ODI, SSIS, BODI, or DataStage.
Our inclusive culture empowers Amazon employees to deliver the best results for our customers. If you have a disability and need workplace accommodations during the application and hiring process, please visit this link for more information. If your country or region isn’t listed, please contact your Recruiting Partner.
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