Big Data Engineer

7 days ago


Stockholm, Stockholm, Sweden Dabster Full time
About the Role

We are seeking a highly skilled Distributed Big Data Processing Specialist to join our team at Dabster. As an expert in big data processing, you will be responsible for designing and developing distributed big data processing pipelines that process massive amounts of structured and unstructured data in near real-time.

As a key member of our team, you will leverage Spark to enrich and transform corporate data, enabling searching, data visualization, and advanced analytics. You will work closely with analysts and business stakeholders to develop analytics models, ensuring timely delivery of high-quality results.

Key Responsibilities
  • Designing and developing distributed big data processing pipelines using Apache Spark
  • Leveraging Spark to enrich and transform corporate data for analytics purposes
  • Working closely with analysts and business stakeholders to develop analytics models
  • Ensuring timely delivery of high-quality results
Requirements

To succeed in this role, you will need:

  • Excellent programming language skills in Spark, Scala, Bash, Unix Scripting, and SQL
  • Strong understanding of Hadoop and HDFS architecture
  • Good knowledge of file types and their pros and cons
  • Experience working with Build Tools, especially SBT and Gradle
  • Very good understanding and experience in implementing Continuous Integration/Continuous Deployment (CICD)
  • Working experience in SAFe and Agile methodologies
Benefits

We offer a competitive salary of $120,000 per annum, along with a range of benefits, including:

  • A comprehensive health insurance plan
  • A 401(k) retirement savings plan
  • A generous paid time off policy
  • Professional development opportunities
About Us

Dabster is a leading provider of big data solutions, dedicated to helping organizations unlock the full potential of their data. We are passionate about delivering innovative solutions that drive business growth and improvement.


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