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Amazon Data Engineer Amazon WW Promotions 
Germany, Berlin 
406889245

20.11.2024
DESCRIPTION

As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities
- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.
- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.
- Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.- Able to read, write, and debug data processing and orchestration code written in Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)

BASIC QUALIFICATIONS

- Experience as a Data Engineer or in a similar role
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with Apache Spark / Elastic Map Reduce
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS


PREFERRED QUALIFICATIONS

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience working on and delivering end to end projects independently