Data Engineer for Data Transformation

2 weeks ago

Stockholm, Stockholm, Sweden We IT Global AB Full time
Job Title: Data Engineer, Sustainability

This is a remote position that offers a unique opportunity to be part of one of the biggest data transformation journeys. As a data engineer, you will be building data products in the context of the Data Mesh concept based on a defined target vision and requirements.

Responsibilities:
  • Take end-to-end responsibility to build, optimize, and support existing and new data products toward the defined target vision.
  • Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
  • Ensure that our built data products work as independent units of deployment and that non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
  • Work closely with the Product Owner and other stakeholders around a vision for existing data products and identifying new data products to support our customer needs.
  • Work with product teams within and outside our domain around topics that relate to the data mesh concept.
  • Evaluate and drive continuous improvement and reduce technical debt in the teams.
  • Maintain expertise in the latest data/analytics and cloud technologies.
Requirements:
  • Passion for Data, people, and technology.
  • At least 4+ year's work experience including hands-on as either: Data engineer on GCP/modern cloud data platforms /or advanced analytics environments. Software Engineer with cloud technologies and infrastructure.
  • Experience in GCP tools – Dataflow, Dataproc and Bigquery.
  • Experience in different data formats (Parquet, Avro).
  • Experience in data query languages (SQL or similar).
  • Experience in data-centric programming using one or more programming languages Python, Java /or Scala.
  • Good understanding of different data modeling techniques and trade-offs.
  • Knowledge of NoSQL and RDBMS databases.
  • Have a collaborative and co-creative mindset with excellent communication skills.
  • Motivated to work in an environment that allows you to work and make decisions independently.
  • Experience in working with data visualization tools.
  • Fluent in English both written and verbal.

Advantage if you also have: Experience in data processing frameworks – Beam, Spark, Hive, Flink. Business understanding of the retail industry.

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