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Lead AWS Python Data Engineer / Developer
Location:
US-NJ-Princeton
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This opportunity is for a Lead AWS Python Data Engineer and Developer with deep knowledge of best practices in Python application development, particularly statistical calculations.

The Lead AWS Python Data Engineer and Developer is responsible for design and development of cloud native solutions for the production calculation of psychometric quality statistics.

This role designs software and participates in development, testing and documentation through the entire Software Development Life Cycle (SDLC). Timely and effective communications to the team, organization and outside vendors are regularly disseminated as part of this job function. DevOps, Cloud native architecture, and Agile product development should be second nature to this resource and they should be capable of leading and mentoring a team. Technology requirements: Development of production ready data analysis applications using Python, PySpark, Pandas, NumPy Cloud native data analysis technologies such as AWS EMR, AWS Glue Data querying and storage including SQL, Parquet, XML, JSON Experience with big data technologies such as Hadoop, Hive, and Jupyter notebooks Java experience preferred Skills: Operating in an agile project environment using tools such as Jira, Confluence DevOps and CI-CD using GitLab, Jenkins Application support, logging, and health checking using Splunk and DynaTrace Formulate and define system scope and objectives for assigned projects Develop appropriate software solutions to requests for new services and functionality Develop detailed specifications, application coding, unit and systems testing for the IT department Examine, devise and modify procedures to solve moderately complex problems in regard to existing system capabilities, operating time or the form of desired results Coordinate and support software production schedules and processing


Required Skills : Technology requirements: Development of production ready data analysis applications using Python, PySpark, Pandas, NumPy Cloud native data analysis technologies such as AWS EMR, AWS Glue Data querying and storage including SQL, Parquet, XML, JSON Experience with big data technologies such as Hadoop, Hive, and Jupyter notebooks Java experience preferred Skills: Operating in an agile project environment using tools such as Jira, Confluence DevOps and CI-CD using GitLab, Jenkins Application support, logging, and health checking using Splunk and DynaTrace Formulate and define system scope and objectives for assigned projects Develop appropriate software solutions to requests for new services and functionality Develop detailed specifications, application coding, unit and systems testing for the IT department Examine, devise and modify procedures to solve moderately complex problems in regard to existing system capabilities, operating time or the form of desired results Coordinate and support software production schedules and processing Qualifications/Education: Degree in Computer Science, Engineering or a related subject AWS Solution Architect certification strongly preferred
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Additional Skills :
Rank :B1
Requested Date :2021-05-07

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