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Data Engineer Tech Lead for Business Logic Data Sets

Salary undisclosed

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Data Engineer Tech Lead for Business Logic Data Sets

We are looking for an experienced Data Engineer Lead to spearhead the development and optimization of distributed data systems. In this role, you will architect and manage structured and NoSQL data systems, design relational databases, and optimize performance for large-scale data operations. You'll guide a team in building efficient ETL pipelines and delivering innovative data solutions to support our mission of transforming data into actionable insights

Responsibilities:

  • Experience with Denodo with AWS to perform queries
  • Delivering solutions for distributed data queries
  • Managing Structured Data Systems (defining fixed formats and general data structures that will apply to multiple data sets)
  • Architecting and Designing Relational and NoSQL data structures
  • Tuning and optimizing for performance


Requirements:

  • Must have excellent experience with NodeJS
  • Expert knowledge of databases and SQL; noSQL and relational databases, Postgres
  • Recent experience working with the AWS platform
  • Experience with ETL pipeline creation and management
  • 8+ years Experience as a Full Stack or Back End technologies
  • Proficiency with Git and GitHub workflows
  • Experience writing unit tests


Education:
Bachelor of science degree (or equivalent) in computer science, engineering, or similar experience
Location: Mountain View, CA Hybrid
Type: Fulltime
Salary Range: $200-220k

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Data Engineer Tech Lead for Business Logic Data Sets

We are looking for an experienced Data Engineer Lead to spearhead the development and optimization of distributed data systems. In this role, you will architect and manage structured and NoSQL data systems, design relational databases, and optimize performance for large-scale data operations. You'll guide a team in building efficient ETL pipelines and delivering innovative data solutions to support our mission of transforming data into actionable insights

Responsibilities:

  • Experience with Denodo with AWS to perform queries
  • Delivering solutions for distributed data queries
  • Managing Structured Data Systems (defining fixed formats and general data structures that will apply to multiple data sets)
  • Architecting and Designing Relational and NoSQL data structures
  • Tuning and optimizing for performance


Requirements:

  • Must have excellent experience with NodeJS
  • Expert knowledge of databases and SQL; noSQL and relational databases, Postgres
  • Recent experience working with the AWS platform
  • Experience with ETL pipeline creation and management
  • 8+ years Experience as a Full Stack or Back End technologies
  • Proficiency with Git and GitHub workflows
  • Experience writing unit tests


Education:
Bachelor of science degree (or equivalent) in computer science, engineering, or similar experience
Location: Mountain View, CA Hybrid
Type: Fulltime
Salary Range: $200-220k

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job