Primary mission:

As a Data Engineer, you will contribute to bring data analytics to production at scale in the company. Taking part on data teams building data platforms or data products together with data science and data management teams.

Core activities:

Data Pipelines Development (Batch + Real Time pipelines)

Data Operations (Exploring, Provisioning, Cleaning, Testing and ALM)

Technical stack:

• Required:
  • Languages: Scala/Python and SQL
  • Big Data Frameworks: Databricks, Spark
  • Data Base: relational (SQL Server)
  • CI/CD flows & tools: Azure DevOps
  • Monitoring and alerting tools: Azure Monitoring, Grafana
• Appreciated
  • Languages: Java, .NET and others
  • Big Data Frameworks: Kafka, Kubernetes, Snowflake
  • Data Base: non-relational (MongoDB, ELK, Cassandra)
  • IaC: Terraform
  • Experience in Agile methodology

Soft skills and competencies:

• Passion for learning new tools, languages and frameworks
• Ability to be creative and innovation-minded, self-motivated and proactive.
• Fast adaptation to changing requirements and strong problem-solving skills.
• To work in a collaborative model, side by side with the business
• Fluency in English to work in a multi-cultural environment

Experience:

• MSs degree in Computer Science, Engineering, or related field
• 4+ years experience in software development
• 2+ years experience in Big Data Frameworks
• As a bonus, contribution to open-source projects