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.
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
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.