Quality Data Engineer

HAYS + Seguir empresa
Barcelona - España 18/05/2022

Descripción de la oferta de empleo

At Boehringer Ingelheim we develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company, we focus on long-term performance. We believe that, if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve; after all, we started with just 28 people.

Now, we are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture. Our innovation power wouldn´t be possible without our people. That´s why in Boehringer Ingelheim you will have the opportunity to develop your career while improving the world´s health!

If you want to take one step forward in your professional journey in a virtual, international and multicultural environment, Boehringer Ingelheim is the one for you!

Growth together with the team as a and be part of a Global Top Employer company where you will be involved in interesting projects that which will lead you to your fullest development!

The Position

We are looking for a Quality Data Engineer to work collaboratively with a team dedicated to the modernization of a traditional data warehousing environment and Apache big data environment to an API cloud-based architecture on Amazon Web Services

Duties & Responsibilities:

- Performs testing, maintenance, construction and development of large-scale Datasources / AWS data ingestion pipelines, integration processes and databases.
- Works with users to define existing or new system scope and objectives.
- Provides analytical support and technical advice during the conceptualization, development, and implementation phases.
- Assembles large, complex sets of data that meet non-functional and functional business requirements
- Creates data set processes for verification, acquisition, mining and modeling.
- Identifies process improvements to data extraction from SAP (Q modules), understanding of quality laboratory processes and possible updates.
- Designs and implements processes for optimal extraction, transformation and loading of data from various data sources using AWS, as well as, SQL and NoSQL data technologies


- Bachelor´s or Master´s degree in computer science or similar experience.
- At least 2 years of experience in IT Database Systems, Pipelines and Big Data Environments and able to support Demand Management Process from Demand conception to implementation.
- At least 2 experience in AWS native tools set: S3, Redshift, Kinesis, Glue, Athena, Batch/Step-Functions
- Experience with Data Warehousing and analytic tools such as Apache Spark, Hadoop, HIVE.
- Experience in delivering solutions in an Agile/DevOps environment, using the Atlassian tool suite (Jira, Confluence) and working Experience with the AWS Code Development Kit (Big Plus)
- Deep understanding/experience of workflow and data pipeline dependencies and runtime automation concepts.
- Deep understanding on manufacturing standards like ISA95, ISA88 is a plus.
- Experience in data extraction from SAP and experience in the quality modules is a plus
- Ability to build and optimize data sets, ´big data´ data pipelines and architectures, perform root cause analysis and identify opportunities for improvement. Data transformation, workload management, data structures, dependency and metadata
- Desirable Knowledge of Data Streaming.
- Experience working in an international and intercultural environment.
- Excellent spoken and written English.
- Willingness and readiness to travel.
- Communicate effectively, collaboration skills and excellent analytical thinking, open mindset, thinking out-of-the-box with innovative ideas.

Otros detalles de la oferta

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Datos principales de la oferta
  • Barcelona - España
  • Sistemas de Calidad
  • Jornada completa
  • 2 años
  • Indefinido
    Tipo contrato
  • QA AWS

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