Principal Data Engineer

  • New York, NY

Compensation

: $94,330.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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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.
Associated topics: data administrator, data analyst, data integration, data integrity, data management, data warehouse, etl, mongo database, sql, sybase

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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