Data Engineering Leader

5 days ago

Boston, Massachusetts, United States Calliere Group Full time

About This Role:

As a Data Engineering Leader at Calliere Group, you will be a key player in shaping our client's data platforms for the future. You will be responsible for owning a large portion of their ecosystem, including data collection, modeling, transformation, and quality check. Your role will also involve being a data steward to govern the quality of their data warehouse and instill a data-driven mindset in those around you.

Working closely with the team, you will aim to take their data pipelines to the next level. Your work will be dynamic and ever-evolving, with a mixture of short and long-term projects. You will facilitate the ability to create and streamline data processes to extract, transform, and load data streams from various sources into their data warehouse.

What You'll Do:

  • Design, build, and maintain research platforms that enable large-scale data analysis and fast innovation.
  • Design and implement standardized data schemas and APIs for a variety of downstream use cases.
  • Build data quality solutions and automated checks to ensure data integrity.
  • Work with other developers to scope and build data warehouse solutions to help the business scale.
  • Collaborate with traders, analysts, and researchers to gather scope requirements.
  • Manage and execute projects from start to finish, including project management, data gathering, transformation, and modeling, analysis, and delivery of tooling or business recommendations.

Requirements:

The feedback loop for this team is immediate, so they look for dynamic and highly ambitious people who seek to innovate constantly, challenge the status quo, and want to work alongside some of the most talented and intelligent people in the smart device sector.

In terms of skills and qualifications, they're looking for:

  • 3 to 5+ years of experience in data engineering and/or quantitative development.
  • A deep understanding of computer science fundamentals and engineering instincts.
  • A strong knowledge of Python, SQL, and open-source frameworks for data retrieval, pipelining, and transformation.
  • Preferably, a degree in computer science or other technology-related fields.
  • Experience with manipulation of large and complex data sets.
  • A problem-solving mindset.
  • A proactive, can-do attitude.
  • An eagerness to learn.

Communication Skills:

You need to be able to translate your ideas to different areas of the business.

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