Data Engineer, Global Procurement Technology
Amazon
Luxembourg, LUX
il y a 6j

Job summary

Are you a talented and inventive engineer with a strong passion about modern data technologies and interested to improve business processes, extracting value from the data?

The Global Procurement Technology is looking for an experienced Data Engineer to help build its future data ecosystem. You will be a member of the Data Engineering and ML Team, joining a fast-growing global organization, with a great vision to transform the Procurement field, and become the role model in the market.

This team plays a strategic role supporting the core Procurement business domains as well as it is the cornerstone of any transformation and innovation initiative.

Our mission is to provide a high-quality data environment to facilitate process optimization and business digitalization, on a global scale.

We are supporting business initiatives, including but not limited to, strategic supplier sourcing (e.g. contracting, negotiation, spend analysis, market research, etc.

order management, supplier performance, etc. You will connect with world leaders in your field and you will be tackling Data Engineering challenges to ensure business continuity, by taking the right decisions for your customers.

Key job responsibilities

As a Data Engineer in the team, you will :

  • design, develop and enhance data systems and pipelines, supporting process optimization in reporting, planning, and analytics
  • integrate in-house data services with partners' systems
  • drive the development of data warehousing solutions, using various technologies and tools
  • have strong analytical skills and excel in the design, creation, management, and enterprise use of large data sets, combining raw data from different sources
  • be responsible for the design and implementation of scalable extract, transform, and load (ETL) processes to support the rapidly growing and dynamic demand for data;
  • deliver data as a service, which will have an immediate influence on day-to-day business decision making

  • prepare operational data to automate data integrity and activity monitoring
  • cooperate with different groups of stakeholders, like engineers, scientists, product / program managers, etc. to evaluate business needs and objectives, and provide the best data management environment
  • be the person-to-go for data solutions, while striving for efficiency by aligning data systems with business goals
  • BASIC QUALIFICATIONS

  • Bachelor’s Degree in Computer Science / Engineering, Informatics, or a related technical discipline
  • 4+ years of industry experience in data engineering, data science, business intelligence or related field
  • Very good knowledge of data management fundamentals (i.e. profiling, storage, processing, access, etc.)
  • Demonstrated strength in data modelling, ETL development, and data warehousing / lakes design
  • Experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, DynamoDB, Lambda, SNS / SQS, S3, Glue, Athena, EMR, etc.
  • and / or Microsoft Database Software Stack (SQL Server / SSIS)

  • Advanced SQL coding and query performance tuning skills
  • Experience building data products incrementally, integrating and managing large data sets from multiple sources
  • 3+ year of demonstrated coding experience with modern programming or scripting languages (Python, Scala, Java, etc.)
  • PREFERRED QUALIFICATIONS

  • Master’s Degree in Data Engineering, Applied Data Science, Data and Web Science, or related certification
  • Knowledge of systems engineering to optimize integration of data service / software solutions with data infrastructure
  • Proven track record of applying data engineering for enabling business analytics (Procurement, Operations, Finance, etc.)
  • Experience utilizing business intelligence reporting tools (AWS QuickSight, Power BI, Tableau, etc.)
  • Experience mentoring other engineers
  • Good knowledge of software / data development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
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