Sr. Data/Machine Learning Engineer

• Participate in the design, architecture & design of the data infrastructure and storage platforms.
  

• Participate in the design and implementation of the data engineering technology stack, ETL pipelines, and services needed to curate a portfolio of actionable, accurate datasets to support business intelligence, product experimentation, and machine learning.
  

• Contribute to the definition of engineering and data science best practices to ensure the development of well-crafted, pragmatic and elegant solutions.
  

• Engage with the products team to evolve and generalize data models and data definitions.
  

• Foster collaboration, knowledge sharing and data literacy between teams.
  

• Deeply understand and strive for the improvement of data organization, data management, and data governance best practices.
  

• Advocate code quality and documentation.
  

• Coach junior data engineers through code reviews, pair programming, and tech talk sessions.

• Partner effectively with product and other stakeholders, to drive successful solutions.
  

Requirements

• Bachelors of Computer Science

• 4+ Years of Experience

• Extensive experience designing and developing data transformation, data transport and data serving applications in a cloud environment (AWS / Azure)
  

• Expert knowledge of MS SQL server, and database scalability & performance optimization.
  

• Extensive experience querying NoSQL and graph databases (e.g. MongoDB, HBase, Cassandra, Neo4j).
  

• Extensive experience designing and developing data applications at scale.
  

• Experience with mathematical and statistical data analysis techniques (such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models).