Senior Data Engineer

hace 3 semanas

Barcelona, Barcelona, España Mygwork A tiempo completo
Job Title: Senior Data Engineer - Global Procurement Technology

This role is with Mygwork, an inclusive employer and a member of the LGBTQ+ business community. We are committed to creating a diverse and inclusive workplace.

About the Role

We are seeking a highly skilled Senior Data Engineer to lead related engineering activities and help build our future data ecosystem. As a member of the Data Engineering Team, you will join a fast-growing global organization with a vision to transform the Procurement field and become a solution leader in the market.

Key Responsibilities
  • Lead the design and development of highly scalable and efficient database systems and pipelines, supporting process optimization in Procurement operations management, analytics, and reporting.
  • Lead data integration projects, being the proxy for other engineering senior leaders.
  • Be an expert in the architecture of data warehousing products; capable of utilizing various technologies and tools.
  • Have strong analytical skills and excel in the modeling, creation, management, and enterprise use of large data sets, combining raw (complex) data from different sources.
  • Define the best design and development practices to extract, transform, and load (ETL) data from various sources (internal or external), supporting the rapidly growing and dynamic demand for data.
  • Be the Subject Matter Expert (SME) for any data solutions, while striving for efficiency by aligning data product initiatives with business goals.
  • Organize related workshops and demos, to share knowledge across teams and ensure that all data engineers follow similar design and development practices.
  • Cooperate with different groups of stakeholders, e.g. engineers, scientists, product/program managers, senior leadership, etc. to evaluate properly any requirements or dependences to recommend optimal solutions to the problems.
Requirements
  • Experience in data engineering.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with SQL.
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
  • Experience mentoring team members on best practices.
Preferred Qualifications
  • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.

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.

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