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Data Engineer

  • Job type: Permanent
  • Location: New York
  • Salary: US$120000 - US$130000 per year
  • Job reference: 182151/002_1535401266
  • Sector: BI & Big Data, Glocomms
  • Date posted: 27/08/2018

Data Engineer

Global IT Solutions & Services Provider

New York, NY

Salary: $120,000 - 130,000

A software services and solutions company recognized globally for innovation is looking for a Data Engineer, with strong knowledge of Data Pipelines, cloud infrastructure, and automation processes. Are you ready to join an organization that sees the value in Data and utilizes it to assist global companies decode rapidly shifting marketing forces and market dynamics?

Are you interested in working with clients such as The New York Times, Electronic Arts, and the MLB to name a few? This opportunity will give you the chance to join a thriving company and manage their data pipelines.

The Data Engineer will be responsible for:

  • Create and maintain optimal data pipeline architecture,

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies. Knowledge of S3, Redshift, ETL tools required.

  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

The Data Engineer will have the following qualifications:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • S3, Redshift, ETL tools knowledge is required.

  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

Apply now if you like:

  • 3 Weeks PTO, 10 days of Paid Holiday

  • Medical/Dental/Vision Insurance

  • 401k Matching

  • Maternity/Paternity Leave

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