Data Engineer

Los Angeles, California · Remotefull timeRemote

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$100k–$130k

H1B: no

Centerfield Data Engineer responsible for designing specialized data collection infrastructure supporting Centerfield's proprietary Data Architecture. Own end-to-end problem solving to collect, extract, and clean data while collaborating with stakeholders to deliver BI, data warehousing, and analytical infrastructure.

Responsibilities

As a Data Engineer, you’ll help design the highly specialized data collection infrastructure in support of Centerfield's proprietary Data Architecture.
How You’ll Contribute...
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.

Qualification

Experience with the followingETL tools such as TalendGoogle Cloud PlatformPerformance-tuning techniquesDesigning resilient data pipelinesAWS and GCP technologies

Required

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 the following:
ETL tools such as Talend, SSIS, or Informatica
Google Cloud Platform, including Google Cloud Bucket, Cloud Data Fusion, BigQuery, and Google Analytics
Performance-tuning techniques
Real-time streaming implementation and architecture
Building reports and data visualization with BI tools such as Tableau or Power BI
Data organization and ETL / ELT processes
Designing resilient data pipelines
AWS and GCP technologies, including S3, SQS, Redshift, Kinesis, Google Cloud Bucket, Cloud Data Fusion, and BigQuery
Java and Python and their respective build and packaging systems