Remote Position

Sr Azure Data Engineer

🌍 Remote · United States 💼 Full-time

Senior Data Engineer Location: 100% remote, must be eastern time zone since the start time is 6AM Eastern to accommodate for the team being in the UK Required Skills:

  • Azure (Databricks, Data Factory, Synapse, Data Lake) – They do not need to have all the Azure data tools
  • Python and Spark
  • Strong SQL skills

Key Accountabilities:

  • Architects, designs, implements and maintains reliable and scalable data infrastructure
  • Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data
  • Design, develop, and deliver large-scale data ingestion, data processing, and data transformation projects on Azure
  • Mentor and share knowledge with customers as well as provide architecture reviews, discussions, and prototypes
  • Work with customers to deploy, manage, and audit best practices for cloud products
  • Adheres to and advocates for software engineering best practices (e.g. technical design and review, unit testing, monitoring, alerting, checking in code, code review, documentation)
  • Deploy secure and well-tested software that meets privacy and compliance requirements; develops, maintains and improves CI / CD pipeline
  • Service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Design, build, deploy and maintain infrastructure as code. Containerizes server deployments
  • Actively contributes to improve developer velocity
  • Work closely with other data engineers, software engineers, data scientists, data managers and business partners

Desirable Education and Experience:

  • BS degree in computer science or related field

Required Criteria

  • Deep and hands-on experience (typically 5+ years) designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
  • Hands on experience with:
  • Databricks and using Spark for data processing
  • Configuring Delta Lake on Azure Databricks
  • Python, Scala, SQL
  • C#, ASP.NET, MVC,.NET Core,.Net Framework (4.6) JSON, and API development (optional)
  • Azure Data Factory
  • Azure Data Lake, Azure SQL DB, Synapse, and Cosmos DB
  • Data Management Gateway, Azure Storage Options, Stream Analytics and Event Hubs
  • Designing data solutions in Azure incl.
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