Data Engineer

3 weken geleden

Hapert, Noord-Brabant, Nederland Abacus Medicine Voltijd

Abacus Medicine is seeking a skilled Data Engineer to join its Data Engineering team, where you will play a key role in designing and developing scalable and robust data solutions. The team is responsible for the company's cloud data platform, which involves building systems and processes that take in raw data and produce high-quality data to support downstream use cases such as business intelligence, analytics, and AI/ML solutions. We leverage a modern data tech-stack to develop robust data solutions and drive data-driven decision-making across the organization.

The ideal candidate will have a strong background in data engineering, with experience in designing, developing, and maintaining data pipelines that perform data extraction, transformation, and loading (ETL) processes from various sources. You will work closely with cross-functional teams and other data professionals to gather requirements and design robust data solutions, merging expertise from different domains to find the best solution for each data challenge.

Some of the technologies and tools you will be working with include Azure Databricks, Azure Data Factory, Azure Data/Delta Lake, Python, PySpark, SQL, Azure DevOps, Monte Carlo, Data Observability Platform, and Git. As a Data Engineer, you will play a vital role in our data infrastructure team, supporting the development, maintenance, and optimization of our data pipelines and platform.

We promote continuous learning and development in Data & Analytics, and we help our data engineers expand their expertise and knowledge in various domains. If you are passionate about data engineering and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.

Responsibilities:

  • Design, develop, maintain, and optimize data pipelines that perform ETL processes from various sources.
  • Work on projects in the field of data engineering that directly impact our data-driven initiatives.
  • Stay up-to-date with emerging data engineering trends and technologies to further develop our modern data cloud platform.
  • Leverage our scalable monitoring tool and cutting-edge data observability platform to monitor and troubleshoot data pipelines.
  • Collaborate with cross-functional teams and other data professionals to gather requirements and design robust data solutions.
  • Optimize big data storage and data retrieval processes.

Requirements:

  • A Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Proficiency in Python programming.
  • Familiarity with source control such as Git.
  • Basic knowledge of SQL.
  • Experience in data manipulation, data wrangling, and data cleansing techniques to ensure data quality and integrity.
  • Strong problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
  • Proactive mindset with a continuous learning approach to keep up with evolving technologies in the data engineering field.
  • Good oral and written communication skills in English.

Preferred qualifications:

  • Cloud platforms, such as Azure, AWS, or GCP.
  • Azure Data/Delta Lake for efficient storage and processing of big data.
  • Apache Spark and Databricks for data processing and analytics.
  • Experience with PySpark.
  • Experience with Azure Data Factory, or familiarity with other similar data integration and orchestration tools.
  • Data governance and data modeling best practices.
  • Understanding of CI/CD practices.

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