DESCRIPTION

WW Consumer Finance Technology team is looking for an experienced Data Engineer to drive technical implementation of process optimization projects within WW Consumer Finance Planning and Reporting.

As a data engineer, you will get exciting opportunity to work on large datasets in one of the world's biggest and most complex data warehouse environments. You will collaborate with business teams within Global Customer Fulfillment Finance organization on various process optimization initiatives, provide technical solution that will address unique business challenges.

You will be responsible for end-to-end data solution design and implementation including but not limited to data modelling, ETL, BI analytical layer. You will have an opportunity to work with leading edge AWS technologies, third-party and in-house tools.

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
· 3+ years of industry experience in Software Development, Data Engineering, Business Intelligence, or related field with a track record of manipulating, processing, and extracting value from large datasets.
· Experience in Data Modeling, ETL Development, and Data Warehousing working on multiple large scale, cross-functional projects.
· Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
· Experience in coding and building end-to-end solutions that enable business stakeholders, BI engineers and analysts to self-serve their business intelligence needs.

PREFERRED QUALIFICATIONS

· Masters in computer science, mathematics, statistics, economics, or other quantitative fields
· 5+ years of experience as a Data Engineer, BI Engineer or in a similar role.
· Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
· Experience working with AWS (Redshift, S3, EMR, Glue, Airflow).
· Hands-on in any scripting language (C#, Java, Python, Perl, Typescript, Ruby).
· Hands on experience on ETL tools (SSIS, Alterix, Talend)
· Background in non-relational databases or OLAP is a plus.
· Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
· Experience providing technical leadership and educating other engineers for best practices on data engineering.

01 Januar
www.amazon.com