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Senior Data Engineer

Skills
Cloud ComputingJavaMicrosoft AzureProgramming LanguagesAmazon Web ServicesC++Data Engineering
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years delivering data engineering solutions on a cloud platform
  • 5+ years implementing modern designs using AWS Azure or GCP
  • Advanced proficiency with at least one ETL or data orchestration tool
  • Experience with cloud data warehousing and data lake solutions such as Snowflake Redshift or Databricks
  • 5+ years with SQL or NoSQL databases
  • Expertise in SQL database design and data structures including star and snowflake schemas
  • 5+ years with at least one programming language such as Python Java R C C++ or Shell
  • Familiarity with DevOps tools such as git Jenkins CI/CD or Jira
  • Fundamental understanding of big data open source and data streaming concepts
  • Experience providing technical leadership and mentoring data engineering engineers

Nice to have

  • Strategic thinker
  • Collaborative
  • Mentoring mindset
  • Cloud certified

Day to day

  • Advise customers on data engineering best practices methodologies and cloud technologies to shape effective solutions
  • Design implement and maintain modern data pipelines that ingest transform and deliver data from disparate sources
  • Partner with product owners business SMEs and technical teams to create scalable supportable engineered solutions
  • Provide technical leadership share knowledge and align technical decisions with business needs and cloud patterns
  • Stay current with evolving cloud data technologies and communicate clear recommendations to stakeholders