Design, develop, and implement data pipelines and integration solutions using Python and Google Cloud Platform services
Monitor and troubleshoot data pipelines to ensure data availability and reliability
Conduct performance tuning and optimization of data processing systems for improved efficiency and scalability
Required Qualifications
Working experience as a Data Engineer
Proficiency in Python and experience with Spark for data processing and analytics
Experience with Google Cloud Platform services and data modeling, integration, and ETL processes
Strong knowledge of SQL and familiarity with managing cloud-native databases
Understanding of data warehousing concepts and best practices
Average salary estimate
$110000
/ YEARLY (est.)
min
max
$90000K
$130000K
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