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Senior Data Engineer



  • Lead data teams, and guide and support decisions in terms of data strategies, architecture, modeling, and tools.
  • Plan and conduct Data projects.
  • Discovers and elicits business and data requirements.
  • Design and implement Data architectures on cloud or on-premises.
  • Develop logical data models for OLTP and OLAP processing.
  • Develop data pipelines for extracting, cleansing, transforming, and enhancing data.
  • Team-oriented attitude and the ability to work well with others to achieve a common goal.
  • Open to working in an agile environment as part of a scrum team.
  • The ability to take the initiative, drive the project and innovate.
  • Having a proactive attitude towards solving problems.
  • Good client-facing skills.


Qualifications and Experience

  • 5+ years systems architecture experience with large-scale data warehouse platforms and applications.
  • Wide experience leading teams and stakeholder management.
  • Strong data modeling skills (normalized and multidimensional).
  • Strong data analysis and Advance SQL skills.
  • Background and experience with cloud data technologies and tools.
  • Strong SQL scripting experience.
  • Familiar with distributed computing environments.
  • Experience implementing ELT process and Data pipelines.
  • Background and experience with data tools and technologies like:
  • BigQuery, Redshift, Snowflake, other Data warehouse and BI tools
  • Spark, Hadoop, Apache beam, Dataproc or similar.
  • Real time pipelines with Kinesis or Kafka.
  • Batch processing.
  • Serverless processing.
  • Proficiency in a programing language like Python, Scala or similar.
  • Good leadership and communications skills.
  • English B2+


Nice to have:

  • Previous experience in payment projects.

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