Data Engineer

Centerfield•Los Angeles, CA

5d•$118,331 - $118,331•Onsite

About The Position

As a Data Engineer, you’ll help design the highly specialized data collection infrastructure in support of Centerfield's proprietary Data Architecture. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world’s leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands. Centerfield’s digital experiences and digital brands, such as Business.com and BroadbandNow.com, reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or related field.
Three (3) years of experience in the position offered, as a Data Engineer, BI Engineer, Data Warehousing Engineer or related occupation.
Experience with ETL (Extract, Transform, Load) tools such as Talend, SSIS (SQL Server Integration Services) or Informatica.
Experience with Google Cloud Platform (GCP) (Google cloud bucket, Google cloud fusion, Google Big Query, and Google Analytics).
Experience with Performance-tuning techniques.
Experience with Realtime streaming implementation and architecture.
Experience with Building reports and data visualization with any BI tool such as Tableau or Power BI.
Experience with Data organization and experience with ETL/ELT (Extract, Transform, Load /Extract, Load, Transform) processes.
Experience with Designing resilient data pipelines.
Experience with AWS (Amazon Web Services) and GCP technologies (S3, SQS, Redshift, Kinesis, Google cloud bucket, cloud data fusion, Google Big Query).
Experience with Java and Python and their respective build and packaging systems.
Experience with NoSQL (not only Structured Query Language) databases such as MongoDB, DynamoDB, Druid, Hive, and Presto.
Experience with Amazon Web Services (S3, SQS, Redshift, and DocumentDB).

Responsibilities

Help design the highly specialized data collection infrastructure in support of Centerfield's proprietary Data Architecture.
Aid the team with troubleshooting, researching the root cause, and resolving technical defects in the event of a problem.
Help to implement technical maintenance strategies for all specialized datasets.
Work with relevant stakeholders to deliver appropriate BI (Business Intelligence), data warehousing, reporting, and analytical infrastructure required to support Centerfield's assets.
Own problems from end-to-end, in order to collect, extract, and clean the data.