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14 Jun 2018

Full-Time Big Data Analytics Engineer

Brian Leary Boston, Massachusetts, United States

Job Description

Start up


  • Validate design and implementation, deploy and support in production new workflow processes utilizing existing data pipeline framework based on Spark/EMR/Redshift
  • Perform data quality analysis
  • Help validating and improving documentation related to data processing and data management architecture and procedures.
  • Learn new technologies, improve the existing tools and processes
  • Onboard new customers. Help with the customer specific data needs: ETL integration with 3rd party data sources and data exports. Custom scripts and procedures.
  • Provide support for day-to-day operational work as needed.
  • Produce and automate the production of necessary reports, analysis and test procedures.
  • Research new data sources, analytical tools, and methodologies; contribute to new product development, operational delivery, and presentation.
  • Perform complex data analysis in support of ad-hoc and standing requests and demand for insights and be able to present results to non-technical audiences.


  • Bachelor’s degree or higher, preferably, with a concentration in a computational field such as Computer Science, Mathematics, Statistics, Physics, Engineering
  • Experience in Matlab, R or Python equivalent
  • Experience of at least one big datatechnology, e.g.,MapReduce, Hadoop, Hive, Spark, Pig, AWS/S3 a plus.
  • Experience with Amazon Redshift, Pythonand MySql or equivalent
  • Excellent problem-solving capabilities and superior analytical skills.
  • Strong diagnostic and insight skills; ability to find trends and patterns in data and explain them clearly.
  • Strong entrepreneurial skills that bring customer focused ideas to the projects


  • A desire to solve business problems with technology.
  • Great communication skills, and the ability to influence stakeholders.
  • Strong interpersonal skills and exceptional character
  • Interest, willingness and demonstrated ability to quickly pick up new technology quickly
  • A self-starter who brings energy, passion, and creativity to work every day

Job Categories: Open. Job Types: Full-Time.


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