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senior data software engineer (azure, databrick)

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Data Software Engineering, Databricks, Python, Azure File Storage, Azure DevOps, Azure Synapse Analytics, Power BI Embedded, Data Modeling
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Sorry the job is no longer available.

We are looking for an experienced remote Senior Data Software Engineer to join our company. The successful candidate will be responsible for building an enterprise-grade data platform and establishing data governance and data quality standards.

responsibilities
  • Establishing security controls, integration with data governance, and clear auditable data lineage
  • Building collaborative partnerships with architects, technical leads
  • Actively participating in code review and testing solutions to meet best practice specifications
  • Writing project documentation
  • Ensuring compliance standards are met when implementing and managing data-related activities
requirements
  • 3+ years of experience as a Data Software Engineer
  • Experience coding with Python and building data ingestion pipelines with AWS and Databricks
  • Experience with data modelling and experience with modern Big Data components
  • Experience with Azure File Storage, Azure DevOps, and Power BI Embedded
  • Cloud experience: designing, deploying and administering scalable, available
  • Compliance awareness, such as PI, GDPR, HIPAA and data-oriented personality
  • Upper-Intermediate level of English (B2+)
nice to have
  • Knowledge of Azure Synapse Analytics

These jobs are for you

benefits for locations

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For you
  • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
  • Individual sessions with professional psychologists and coaches
  • Free corporate sports and wellness programs
  • Stable income
  • Paid time off
For your comfortable work
  • 100% remote work forever
  • Free licensed software
  • Possibility to work on your own device (BYOD)
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
    For your growth
    • Free trainings for technical and soft skills
    • Access to LinkedIn Learning platform
    • Language courses
    • Access to internal and external e-Libraries
    • Certification opportunities
    • Skill advisory service
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