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Sr. Data/Machine Learning Engineer
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Sr. Data/Machine Lea....
back_arrow Sr. Data/Machine Learning Engineer

Sr. Data/Machine Learning Engineer

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Sr. Data/Machine Learning Engineer

Job Description

Req ID : 1100480
  • 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).



Bachelor\'s 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).

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Department / Functional Area

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