Description

　　The Global Procurement Technology is looking for an experienced Data Engineer. As a Data Engineer, you will need to review technical design, and develop and enhance data systems and pipelines supporting process optimization in reporting, planning, and controlling activities in Global Procurement as well as integrate in-house data infrastructure with partner systems.

　　You should be an expert in the architecture of data warehousing solutions, using various platforms and tools. In addition, you should have strong analytical skills and excel in the design, creation, management, and business use of large data sets, combining raw information from different sources. Similarly, you will be responsible for designing and implementing scalable Extract, Transform, and Load (ETL) processes to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as a service, which will have an immediate influence on day-to-day business decision making. Moreover, you will create automated alarming and dashboards to monitor data ops activity, improving Operational Excellence metrics.

　　Finally, you should have very good communication skills and ability to adjust communication to different groups of stakeholders, collaborating with Data and BI engineers, Data Scientists, (non-)tech managers, and Analysts to evaluate business needs and objectives in order to build the most appropriate data solutions. Overall, you will be the subject matter expert for the data structures and usage, 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

　　Proven experience in data engineering, data science, business intelligence or related field

　　Very good knowledge of data management fundamentals and data storage principles

　　Demonstrated strength in data modelling, ETL development, and data warehousing/lakes architecture

　　Advanced SQL and query performance tuning skills.

　　Experience building data products incrementally, integrating and managing large data sets from multiple sources

　　Good knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

　　Demonstrated coding experience with modern programming or scripting language (Python, Scala, Java, etc.).

　　Preferred Qualifications

　　Master’s Degree in Data Analytics, Data Science, Applied Science or related certification

　　Experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive, Lambda, etc.)

　　Database design and administration experience with various RDBMS, such as MS SQL Server, PostgreSQL, MySQL, etc.

　　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 providing technical leadership and mentoring other engineers for the best practices on data engineering

　　We are open to hiring candidates to work out of one of the following locations:

　　Luxembourg, LUX

　　Basic Qualifications

　　Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

　　Experience working on and delivering end to end projects independently

　　Bachelor's degree

　　Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

　　Experience with SQL

　　Preferred Qualifications

　　Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

　　Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

　　Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

　　Experience providing technical leadership and mentoring other engineers for best practices on data engineering

　　Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

　　Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

　　Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.