21 days ago
Luxembourg, LuxembourgEntry Level
Responsibilities
- Establish connections with external data partners to ingest datasets for AMXL.
- Extract, transform, and load data from varied sources using AWS products and maintain existing data pipelines.
- Design, develop, and operate data service platforms, ETL components, analytics components, and data quality solutions.
- Create complex data models and end-to-end infrastructure for customer reports and dashboards.
- Automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit, and AWS CloudFormation.
- Gather requirements from cross-functional teams and deliver tailored data solutions.
- Improve tools and processes, scale existing solutions, and create maintainable solutions for team and stakeholder needs.
Requirements
- Experience in data engineering, data modeling, data warehousing, and building ETL pipelines.
- Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, or SparkSQL.
- Experience with one or more scripting languages, such as Python, KornShell, or Scala.
- Preferred experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
- Preferred experience with ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.