CTC Innovations, LLC
The Role
As an engineer for Analytics products, you will build and maintain the core data assets that power our Sigma and Dash Dashboards, used by every desk at CTC, from junior traders to executives. Because of this broad user base, the product’s surface area is extensive. By ensuring timely feedback for traders, these products support data-driven decision-making, so it is important to understand the essential metrics traders use.
In this role, you will
Be responsible for the quality, reliability, and overall health of our data pipelines.
Work closely with Data Scientists, Traders and Quantitative Researchers (QTs) to understand their needs, and how they use our final data products.
Detect source data quality issues that lead to incorrect downstream metrics, and partner with data owners to develop tools to proactively surface and resolve these issues.
Assist colleagues in transitioning data pipelines and analytics tools to enterprise-wide standards, and improve the process for future adoptions.
Collaborate with the broader data organization to improve our overall platform offering and functionality.
Map business workflows to ETL jobs to help own the end-to-end data pipelines.
Own and continuously improve the Metrics UI and related dashboards.
Qualifications
Proficiency in constructing and managing data-processing pipelines.
Strong proficiency in SQL and object-oriented languages like Python.
Strong interpersonal skills with the ability to work in a team environment
Hands-on experience with ETL tools (e.g. PySpark) and large-scale, complex data transformations.
Experience with lightweight UI or dashboarding frameworks like Dash is a plus.
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In this role, you will
Be responsible for the quality, reliability, and overall health of our data pipelines.
Work closely with Data Scientists, Traders and Quantitative Researchers (QTs) to understand their needs, and how they use our final data products.
Detect source data quality issues that lead to incorrect downstream metrics, and partner with data owners to develop tools to proactively surface and resolve these issues.
Assist colleagues in transitioning data pipelines and analytics tools to enterprise-wide standards, and improve the process for future adoptions.
Collaborate with the broader data organization to improve our overall platform offering and functionality.
Map business workflows to ETL jobs to help own the end-to-end data pipelines.
Own and continuously improve the Metrics UI and related dashboards.
Qualifications
Proficiency in constructing and managing data-processing pipelines.
Strong proficiency in SQL and object-oriented languages like Python.
Strong interpersonal skills with the ability to work in a team environment
Hands-on experience with ETL tools (e.g. PySpark) and large-scale, complex data transformations.
Experience with lightweight UI or dashboarding frameworks like Dash is a plus.
#J-18808-Ljbffr