Data Engineer

12 hours ago


Stockholm, Stockholm, Sweden Eccoci Full time

At Eccoci AB, we are seeking a highly skilled Data Engineer to join our Data Engineering Competence area within AI (Artificial Intelligence), Analytics & Data Domain. This role involves being an individual contributor in one of the data product teams, supporting all our brands globally to create, structure, guard, and ensure data is available, understandable, and of high quality.

Key Responsibilities:

  • Taking end-to-end responsibility for building, optimizing, and supporting existing and new data products toward the defined target vision.
  • Advocating a DevOps mindset and principles, managing CI/CD pipelines, and working with terraform and Cloud infrastructure, specifically GCP (Google Cloud Platform).
  • Ensuring that built data products work as independent units of deployment and adhering to defined standards for security, scalability, observability, and performance.
  • Collaborating closely with Product Managers and other stakeholders around the vision for existing data products and identifying new data products to support customer needs.
  • Working with product teams within and outside our domain on topics related to the data mesh concept.
  • Evaluating and driving continuous improvement and reducing technical debt in the teams.
  • Maintaining expertise in the latest data/analytics and cloud technologies.

Requirements:

  • Possessing a passion for data, people, and technology.
  • Holding at least 4+ years' hands-on work experience as a Data engineer on GCP/modern cloud data platforms or advanced analytics environments.
  • Experience in cloud technologies and infrastructure.
  • Knowledge of GCP tools such as DBT and Bigquery.
  • Familiarity with different data formats like Parquet and Avro.
  • Experience in data query languages like SQL or similar.
  • Proficiency in data-centric programming using one or more programming languages such as Python, Java, or Scala.
  • A good understanding of different data modeling techniques and trade-offs.
  • Knowledge of NoSQL and RDBMS databases.


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