Data Engineer
October 18
Description
• Build and maintain data pipelines for our product lines • Maintain product cross-references for our product lines, aiding reconciliation with Finance ledger entries • Develop and maintain integrations with 3rd party software • Construct data pipelines using Databricks technology to ensure data quality, facilitating self-serve analytics in Looker • Develop pipelines to deliver data to external parties
Requirements
• Strong technical knowledge of programming languages, including SQL, Python, and Spark • Experience integrating, transforming, and consolidating data from diverse data systems into analytics solutions • Good understanding of databases, SQL coding, ETL tools/techniques, data profiling, and modeling • Proficiency in implementing data cloud platforms and constructing data pipelines • Excellent communication skills to collaborate with cross-functional teams • Knowledge of Looker is a significant plus
Benefits
• Compensation tied to market data • We reward for contribution • Everyone gets equity • Flexible Time-off • We’re committed to career development • Work from home
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