Data Engineer
Amazon
Luxembourg , LU
il y a 5j

DESCRIPTION

WW Consumer Finance Technology team, responsible for implementation of technical solutions for process optimizations in WW Consumer Finance planning and reporting, is looking for a Data Engineer.

As a data engineer, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments.

You will work closely with the business teams within Global Customer Fulfillment Finance on various technical process optimization initiatives, many non-standard and unique business problems and use creative-problem solving to deliver actionable output.

You will be responsible for designing and implementing an analytical environment using third-party and in-house tools, modeling metadata, building solutions for efficient data management.

You will have an opportunity to work with leading edge AWS technologies.

BASIC QUALIFICATIONS

  • Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience
  • Advanced SQL and query performance tuning skills.
  • Coding proficiency in at least one programming language (e.g. Java, Python, C#)
  • Demonstrated strength in data modelling, Database development, Oracle, SQL Server, MySQL, Redshift, NoSQL and data warehousing,
  • Experience with AWS and / or Microsoft tech stacks
  • Experience building data products incrementally and integrating and managing data sets from multiple sources
  • Experience with BI tools, ETL, visualization Power BI, Tableau, QuickSight etc
  • PREFERRED QUALIFICATIONS

  • 5+ years experience with SQL, Oracle, OLAP, Big Data Technologies
  • Understanding of Finance or other business area
  • Experience in data infrastructure administration and optimization
  • Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts, VB
  • Practical Knowledge of Linux or Unix shell scripting
  • Experience in working with business customers to drive requirements analysis
  • Exposure to large databases, BI applications, data quality and performance tuning for tech solutions
  • Excellent written and spoken communication skills
  • Experience with Amazon Web Services
  • Knowledge of data warehousing concepts
  • Ability to work with shifting deadlines in a fast paced environment.
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