Data Engineer

Centerfield•Los Angeles, CA

3d•$100,000 - $130,000•Hybrid

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. This role involves contributing to the design of data collection infrastructure, troubleshooting technical defects, implementing maintenance strategies for datasets, and collaborating with stakeholders to deliver necessary BI, data warehousing, reporting, and analytical infrastructure. The position requires owning problems from end-to-end to collect, extract, and clean data.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or a 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 tools such as Talend, SSIS, or Informatica
Experience with Google Cloud Platform, including Google Cloud Bucket, Cloud Data Fusion, BigQuery, and Google Analytics
Experience with Performance-tuning techniques
Experience with Real-time streaming implementation and architecture
Experience with Building reports and data visualization with BI tools such as Tableau or Power BI
Experience with Data organization and ETL / ELT processes
Experience with Designing resilient data pipelines
Experience with AWS and GCP technologies, including S3, SQS, Redshift, Kinesis, Google Cloud Bucket, Cloud Data Fusion, and BigQuery
Experience with Java and Python and their respective build and packaging systems
Experience with NoSQL databases such as MongoDB, DynamoDB, Druid, Hive, and Presto
Experience with Amazon Web Services, including 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 implement technical maintenance strategies for all specialized datasets.
Work with relevant stakeholders to deliver appropriate BI, 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.