Database Cloud Engineer

US-NY-New York
3 weeks ago
Job ID
2017-3846
Category
Blink Fitness - Information Technology

Overview

Fitness for Everybody...Everybody Blinks.  We believe that exercise isn't just about looking good; it's also about how it makes you feel -- both in and out of the gym.   We know that if we create an environment where you feel good, you will come more often and get the results you desire.

 

Blink Fitness launched in early 2011 and has ~70 company-owned locations open or in development across the US. Blink has aggressive expansion plans in the coming years with both corporate and franchise locations.

 

Blink is an exciting and dynamic business that is still in the start-up mode. We are a passionate team with a great entrepreneurial spirit and a willingness to roll up our sleeves to get the work done.

 

ROLE OVERVIEW:

 

Blink Fitness is in need of a versatile Database Cloud Engineer for a 6 to 12 month engagement. We are investing in a flexible, best in class new technology platform where data plays a key role. This next generation data platform will be inclusive of many modern data processing, data persistence technologies and data analyzation. 

Responsibilities

  • Design, Build & Maintain end-to-end database solutions.
  • Migrate and transform existing data from MS SQL to MySQL (RDS/Aurora) & NoSQL (DynamoDB)
  • Design and build the ETL processes to extract information from our applications and third-party systems
  • Write, maintain, monitor and improve the logic processing of millions of records
  • Build an automated data replication solutions
  • Cross-functional data integration efforts, both upstream and downstream
  • Work with the engineering team to continuously acquire new data, improve data delivery processes, detect and fix data quality issues
  • Designing schemas for analytics, reporting and data warehouses

REQUIREMENTS:

  • Passionate about data and technology and extremely curious
  • Strong, recent, hands on expertise in data architecture and programming utilizing NoSQL (e.g. DynamoDB, MongoDB, Cassandra, Redis)
  • Experience in SQL to NoSQL data transformation
  • Strong SQL & NoSQL data modeling background
  • Experience in SQL & NoSQL database tuning and optimization
  • Production support experience
  • Excellent communication skills: written, verbal and presentation skill is a must
  • Experience working in agile environments.
  • Capability to work on multiple projects simultaneously with limited supervision

Qualifications

  • 5+ years experience in a data engineering or data-focused development role.
  • Demonstrated contributions to complex, high-traffic, performance-optimized web applications.
  • You’ve worked with Amazon Web Services (AWS) technologies
  • Experience with data warehousing & analytics (e.g. Redshift, Athena, MapReduce, Elasticsearch)
  • Experience with Jenkins and Git
  • Experience with AWS technologies like
    • SQL & NoSQL (RDS & DynamoDB)
    • data streaming and ETL (e.g. Kinesis, Lambda, S3)
    • data migration, replication & transformation (e.g EMR, DMS)
    • distributed computing platforms (e.g. MapReduce)
    • data warehousing & analytics (e.g. Redshift, Athena, MapReduce, Elasticsearch)
  • Machine learning expertise.

 

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