The Data Engineering team at Roblox plays a fundamental role in enabling the companys success by developing and maintaining highly leveraged Core Data Sets frameworks and tooling to support the growing demand for analytics.
As a Senior Data Engineer you will work to define the data ontology for all of Roblox establish standard methodologies for data operations and lifecycle management design and build analytics tooling and frameworks and influence event instrumentation. Additionally this role is highly multi-functional requiring close collaboration with Data Science Experimentation and Machine Learning teams to understand customer requirements and analytics applications as well as with Data Infrastructure and Storage teams to develop integrated solutions.
Join us and be a part of a dynamic team driving innovation and growth at Roblox.
This role will report to our Engineering Manager on the Data Engineering team.
You Will:
- Partner with Data Science Product and Engineering to collect requirements to define the data ontology for all of Roblox
- Lead and mentor a growing team of Data Engineers to support Robloxs ever-evolving data needs
- Design build and maintain efficient and reliable batch and streaming data pipelines to populate core data sets
- Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products
- Establish and promote standard methodologies for data operations and lifecycle management
You Have:
- 8 years of professional experience working building scalable ETL pipelines on industry standard ETL orchestration tools (Airflow Dagster Luigi Google Cloud Composer etc.) with deep expertise in SQL PySpark or scala.
- 3 years leading data engineering development directly with business or data science partners
- Built scaled and maintained Multi-Terabyte data sets and have an expansive toolbox for debugging and unblocking large scale analytics challenges (skew mitigation sampling strategies accumulation patterns data sketches etc.)
- Experience with at least one major clouds suite of offerings (AWS GCP Azure).
- Developed or enhanced ETL orchestrations tools or frameworks
- Worked within standard GitOps workflow (branch and merge PRs CI / CD systems)
- Experience working with GDPR
Required Experience:
Senior IC
The Data Engineering team at Roblox plays a fundamental role in enabling the companys success by developing and maintaining highly leveraged Core Data Sets frameworks and tooling to support the growing demand for analytics.As a Senior Data Engineer you will work to define the data ontology for all o...
The Data Engineering team at Roblox plays a fundamental role in enabling the companys success by developing and maintaining highly leveraged Core Data Sets frameworks and tooling to support the growing demand for analytics.
As a Senior Data Engineer you will work to define the data ontology for all of Roblox establish standard methodologies for data operations and lifecycle management design and build analytics tooling and frameworks and influence event instrumentation. Additionally this role is highly multi-functional requiring close collaboration with Data Science Experimentation and Machine Learning teams to understand customer requirements and analytics applications as well as with Data Infrastructure and Storage teams to develop integrated solutions.
Join us and be a part of a dynamic team driving innovation and growth at Roblox.
This role will report to our Engineering Manager on the Data Engineering team.
You Will:
- Partner with Data Science Product and Engineering to collect requirements to define the data ontology for all of Roblox
- Lead and mentor a growing team of Data Engineers to support Robloxs ever-evolving data needs
- Design build and maintain efficient and reliable batch and streaming data pipelines to populate core data sets
- Develop scalable frameworks and tooling to automate analytics workflows and streamline users interactions with data products
- Establish and promote standard methodologies for data operations and lifecycle management
You Have:
- 8 years of professional experience working building scalable ETL pipelines on industry standard ETL orchestration tools (Airflow Dagster Luigi Google Cloud Composer etc.) with deep expertise in SQL PySpark or scala.
- 3 years leading data engineering development directly with business or data science partners
- Built scaled and maintained Multi-Terabyte data sets and have an expansive toolbox for debugging and unblocking large scale analytics challenges (skew mitigation sampling strategies accumulation patterns data sketches etc.)
- Experience with at least one major clouds suite of offerings (AWS GCP Azure).
- Developed or enhanced ETL orchestrations tools or frameworks
- Worked within standard GitOps workflow (branch and merge PRs CI / CD systems)
- Experience working with GDPR
Required Experience:
Senior IC
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