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Data Engineers (All Levels)

Job Title: Data Engineers (All Levels)
Contract Type: Permanent
Location: New York
Industry:
Salary: Circa $130,000-$200,000
Start Date: ASAP
REF: AAJR o3903
Contact Name: Jason Rumney
Contact Email: jason@intelletec.com
Job Published: 7 months ago

Job Description

An Award Winning fast growing Adtech company in New York are rapidly expanding & seeking to add x2 Data Engineers to a Data Science team of 40. 

The Team

The Data Science team is a high profile team that is a centre of innovation for the company and a major contributor to the company’s core products. The types of challenges you will solve will attract people from industry and academia with diverse backgrounds, ranging from machine learning, physics, biology, neuroscience, and computer science to finance and economics. We’re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

Role

As a data engineer within the Data Science team you will:

  • Be part of a team responsible for architecting, planning, and delivery of engineering components
  • Be an important partner to data scientists on solving technical challenges
  • Architect and build data pipelines, and data stores specialized for data science needs
  • Standardize and build tools for use across the data science team
  • Build, automate and deploy specialized research environments
  • Design and implement systems for large-scale data analysis and machine learning
  • Optimize code and design architecture to streamline data science processes
  • Define and implement best practices and development processes
  • Partner with engineering teams on deployments of data science driven solutions 

Skills:

  • 3+ years of experience in software engineering
  • Excellent interpersonal and communication skills
  • Strong hands-on Java/Scala programming skills with a deep knowledge of internals (GC, JVM, Concurrency)
  • Strong understanding of data structures, algorithms, scalability and various tradeoffs in a Big Data setting
  • Understanding of object-oriented programming concepts and design patterns
  • Hands-on experience writing Hadoop Map-Reduce jobs and data query tools(e.g., Hive, Pig)
  • Solid knowledge of database concepts, SQL, schema design and query optimization techniques

Additional Skills:

  • A bachelor’s degree in a quantitative discipline (Computer Science), Graduate is a plus
  • Digital advertising or web technology experience
  • Demonstrated ability to build complex pipelines using automated workflows (luigi, airflow, oozie)
  • Knowledge of MPP databases (e.g., RedShift, Netezza, Vertica, Greenplum) for complex data assembly and transformation would be a plus
  • Expertise working with public cloud deployments (AWS, Google CE or other)
  • Expertise in programming with Python or Scala
  • Familiarity with one or more (R, Python ML libraries, Spark MLlib, or Matlab)

My client are willing to offer a salary from the $140,000- $200,000 package including benefits