Data Engineer

Senior Data Engineer- 10196

Stockholm, Sweden
Onsite

Huy Tran

HR Administrator

cv@veritaz.se

Job Summary

  • Posted Date

    August 22, 2024

  • Work Type

    Onsite

  • Deadline

    2024-08-29

  • Schedule

    Full-time

  • Location

    Stockholm, Sweden

Job Description

Assignment Description:

We are looking for a Senior Data Engineer  to join our dynamic team.

What You Will Work On:

  • Take end-to-end responsibility for building, optimizing, and supporting both existing and new data products, aligning with the defined target vision.
  • Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and cloud infrastructure, with a focus on Google Cloud Platform (GCP).
  • Ensure that data products operate as independent deployment units, adhering to standards for security, scalability, observability, and performance.
  • Collaborate closely with Product Owners and other stakeholders to define the vision for data products and identify new opportunities to meet customer needs.
  • Work with product teams across the organization on data mesh concepts and related initiatives.
  • Evaluate and implement continuous improvements, driving down technical debt within the teams.
  • Maintain expertise in the latest data, analytics, and cloud technologies to ensure our solutions remain cutting-edge.

What You Bring:

  • 4+ years of experience in roles such as Data Engineer on GCP or modern cloud data platforms, or as a Software Engineer with cloud technologies and infrastructure.
  • Expertise in GCP tools such as Dataflow, Dataproc, and BigQuery.
  • Proficiency in working with various data formats, including Parquet and Avro.
  • Strong skills in data query languages like SQL or similar.
  • Experience in data-centric programming using one or more languages (Python, Java, Scala).
  • Good understanding of different data modeling techniques and their trade-offs.
  • Knowledge of NoSQL and RDBMS databases.
  • A collaborative, co-creative mindset with excellent communication skills.
  • Motivation to work independently, with the ability to make decisions autonomously.
  • Experience working with data visualization tools.
  • Fluency in English, both written and verbal.

Advantageous Qualifications:

  • Experience with data processing frameworks such as Beam, Spark, Hive, or Flink.
  • Business understanding of the retail industry.

If this sounds interesting, please send your CV to cv@veritaz.se

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