Details for Position: NY - DE

Data Engineer

Location: New York

Entertainment Benefits Group (EBG) is one of the fastest growing e-commerce companies in the country that specializes in live entertainment and travel. EBG generates millions of transactions annually by merchandising thousands of attractions and activities, live entertainment, hotel rooms, and other products and services through private, membership-based programs and other direct distribution channels.

EBG powers a robust portfolio of technology solutions and operates a network of membership-based websites reaching a captive audience, providing leading brands with incremental distribution opportunities. EBG owns and operates the largest travel and entertainment benefits program in the country—serving over 40,000 corporate clients and reaching more than 50 million employees through its Corporate Perks Programs. We are proud to be the largest sales partner for many of the major theme parks, attractions, entertainment producers, and other travel organizations in the country.

EBG is headquartered in Aventura FL (Miami area), with offices in New York, Las Vegas, Orlando, Connecticut, and Los Angeles.

We are looking for a savvy Data Engineer to join our growing team of analytics experts. He/She will be in charge to designing, building, integrating data from various sources, and managing big data in the cloud. Run ETL (Extract, Transform and Load) on top of big datasets and create data warehouses that can be used for reporting or analysis by the Analytics team. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing and/or re-designing our company’s data architecture to support our next generation of products and data initiatives.

Job Description:

  • Align data architecture with business requirements
  • Develop, construct, test and maintain optimal data pipeline architecture
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AZURE.
  • 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.
  • Prepare data for predictive and prescriptive modeling.
  • Use data to discover tasks that can be automated
  • Deliver updates to stakeholders
  • Work with stakeholders including the marketing and email teams to assist with data-related technical issues and support their data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Skills:

  • Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases.
  • Experience building (or redesigning) 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.
  • Proven success supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.  They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Advanced proficiency with relational MS SQL databases
  • Advanced proficiency with Azure cloud services
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python,R, Java, C++, Scala, etc.
  • Experience supporting e-commerce and/or travel and entertainment business a plus

Other Information

The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility but should not be considered an all-inclusive listing of work requirements.