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ETL jobs in South Pasadena, CA

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Job alert Jobs 91 - 97 of 97

IM Consultant 2 - Multiple

EY  –  Los Angeles, CA, 90017
... Of the required experience in Data Management, must have the following: - Must have 3 years of experience in one or a combination of the following: data sourcing, data warehousing implementation, data management and Data-Sourcing ETL. - Must have 2 ... - May 22

Power BI Developer

aKube  –  Culver City, CA, 90232
... Experience with data preparation and transformation using Power Query (ETL - Extract, Transform, Load). Strong SQL skills for data retrieval, manipulation, and querying, create and Modify Database Objects. Works with Business Analysts and business ... - Jun 05

Director, Data & Analytics

NZXT  –  City of Industry, CA
... Experience working with ETL tools and overseeing Data Engineers to build an outstanding modern data stack. Experience with big data platforms, data warehousing, and ETL processes. Familiarity with agile methodologies and project management ... - May 17

Data Engineer II

Goodrx  –  Santa Monica, CA
... Real-time data platform like Active MQ or Kafka or Kinesis) on large scale data sets Strong experience in writing complex SQL and ETL development with experience processing extremely large data sets Demonstrated ability to analyze large data sets to ... - Jun 01

Sr. Analyst, Growth Analytics

Goodrx  –  Santa Monica, CA
... Responsibilities include, but are not limited to, building and maintaining queries, developing data pipelines and ETL, creating reporting dashboards, deriving insights from existing datasets, and building measurement models from a variety of data ... - May 24

Senior Data Engineer

Spotter  –  Culver City, CA
... What You’ll Do: Develop and maintain scalable data pipelines, including: ETL pipelines, both single and multi-node solutions Build data quality assurance steps for new and existing pipelines Create derived datasets with augmented properties Work on ... - May 31

Principal Data Engineer

Spotter  –  Culver City, CA
... Develop and maintain scalable data pipelines, including: ETL pipelines, both single and multi-node solutions Build data quality assurance steps for new and existing pipelines Create derived datasets with augmented properties Work on analytics ready ... - May 31
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