Do you love the transformative impact data can have on a business? Are you motivated to push for results and overcome all obstacles? Then we have a role for you.
New Relic is looking for a Senior Data Engineer to help grow our global engineering team.
What youll do
Lead the building of scalable, fault tolerant pipelines with built in data quality checks that transform, load and curate data from various internal and external systems Provide leadership to cross-functional initiatives and projects.
Influence architecture design and decisions.
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
Improve engineering processes and cross-team collaboration
Provide thought leadership to grow and evolve DE function and implementation of SDLC best practices in building internal-facing data products by staying up-to-date with industry trends, emerging technologies, and best practices in data engineering
This role requires
5+ years of experience in BI and Data Warehousing.
Experience and knowledge of building data-lakes in AWS (i.e. Spark/Glue, Athena), including data modeling, data quality best practices, and self-service tooling.
Demonstrated success leading cross functional initiatives
Passionate about data quality, code quality, SLAs and continuous improvement
Deep understanding of data system architecture
Deep understanding of ETL/ELT patterns
Development experience in at least one object-oriented language (Python,R,Scala, etc.).