Data Engineer

Job Description

  • Take part as a technical expert in presale meetings with potential customers.
  • Demonstrate our solutions and ideas to solve our customers challenges.
  • Migrate customers projects to the new modern application world and guide them on cloud and data best practices
  • Be a mentor to our customers and lead them to the solution that works best for them.
  • Assist our customers data scientists and data engineers create the data pipelines and manage them seamlessly.

Job Requirements:

  • At least 4 years as Data Engineer or BI development
  • Proven experience as a software / solution architect, Big Data & BI architect, or as a cloud solution architect.
  • Experience working on public cloud (Azure, AWS or GCP)
  • Experience in working in Databricks – advantage.
  • Proven experience in working with one or more of the following data tools:
  • MongoDB, Cassandra, Spark, Hadoop, HDFS, Data Lakes, Elasticsearch, Cloud Analytics tools
  • Experience working with Spark
  • Experience in working with databases like PostgreSQL, MariaDB, MySQL, Oracle, SqlServer / Azure SQL , Aurora ext.
  • Hands-on experience in one or more of the following languages: Scala, Python, Spark SQL.
  • Experience in Python development with Jupyter Notebooks – Advantage
  • Experience in working with open source technologies
  • Experience in planning Data lakes or Data warehouse

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