Principal Data Engineer

  • location: New York, NY
  • type: Contract
  • salary: $85 - $100 per hour
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job description

Principal Data Engineer

job summary:
Our client is seeking a Principal Data Engineer to lead ongoing development of the proprietary Data Cloud. The candidate will demonstrate a successful track record of thought leadership and management skills coupled with deep experience engineering and managing cloud-based data platforms. The ideal candidate will be distinguished not only by their experience working in a cloud-based, multi-tenant environment, but also by high levels of creativity, passion and thought leadership.

 
location: New York, New York
job type: Contract
salary: $85 - 100 per hour
work hours: 9am to 6pm
education: Bachelors
 
responsibilities:
Responsibilities:

- Lead the proprietary Data Cloud development effort focusing on scalability, quality and performance

- Manage a team of data engineers located both on and off shore

- Serve as the organization's expert on data clous platform technologies and architecture

- Perform employee performance reviews and regular one-on-one sessions

- Perform code reviews

- Ensure adherence to Scholastic's enterprise best practices

- Design efficient, scalable processes to acquire, manipulate and project data

- Participate actively in all facets of the Agile process

- Contribute to the data cloud codebase directly by taking on development tasks

·

 
qualifications:
Qualifications:

- Bachelor's Degree in Computer Science, Math, Statistics or other quantitative discipline

- 8+ years experience implementing enterprise data solutions

- 3+ years experience in a management role

- Extensive experience with AWS data services: Redshift, RDS, DynamoDB, Data Pipeline, EMR

- Extensive experience writing and tuning SQL queries

- 5+ years using ETL / data movement tools (talend, Pentaho, Glue, SSIS, Sqoop, Matillion, Informatica)

- 3+ years programming in one or more languages (Python, Java, Scala, C/C++)

- 2+ years experience with NoSQL data platforms

- Experience implementing a data lake architecture

- Experience with Agile process methodology, CI/CD automation, Test Driven Development

- Experience with AWS Kinesis, Kafka, Storm, Spark, SonarQube highly desired

 
skills: Redshift, RDS, DynamoDB, Data SQL queries,ETL / data movement tools (talend, Pentaho, Glue, SSIS, Sqoop, Matillion, Informatica) (Python, Java, Scala, C/C++)

NoSQL data platforms, data lake architecture, Experience with Agile process methodology, CI/CD automation, Test Driven Development, AWS Kinesis, Kafka, Storm, Spark, SonarQube highly desired


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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