Data Engineer

4 weeks ago


Miami, United States Burtch Works Full time

Principal Duties and Responsibilities:

  • Design, build, and operationalize data engineering solutions for internal data and analytics platforms and products.
  • Implement CI/CD and other automation techniques to streamline data ingestion and delivery processes.
  • Develop self-service data and analytics capabilities to empower business users to navigate our data ecosystem.
  • Improve data flow architecture, emphasizing data quality, maintainability, and extensibility.
  • Support process improvement on the team to enable rapid development of data products.
  • Implement software engineering and DataOps standards and best practices for data analytics team, including code modularization, versioning, testing, automation of CI/CD workflows, code reviews.
  • Work with data/information architects to drive enterprise taxonomy and ontology development to connect disparate data across enterprise and enable 360 insights.
  • Gain an understanding of core business processes and align data development with business strategy.
  • Wrangle and incorporate data from disparate systems to allow data analysts and data scientists leverage to end-to-end data and information.


Education and Experience Requirements:

  • Technical Requirements (understand their purpose & able to utilize them effectively)

3+ Years:

  • ETL processes & strategies
  • Architecture design
  • Data modeling
  • Data warehousing concepts
  • Data transformations and standardizations
  • SDLC & workflow best practices

2+ Years:

  • Azure platform features
  • Snowflake Data Cloud
  • Dbt
  • Version control & branching strategies (Github a plus)
  • Proficient in languages: SQL, Python
  • Data governance, security, and compliance concepts
  • Data Ingestion


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