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Über
This is a full-time, hybrid Senior Data Engineer position based in Newport Beach, California. The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and architecture. Day-to-day responsibilities include implementing Extract Transform Load (ETL) processes, managing data warehouses, and supporting data analytics initiatives to drive business insights. Collaboration with cross-functional teams and ensuring data quality and efficiency are essential aspects of this role. Qualifications
Proficiency in Data Engineering, including building and maintaining large-scale data pipelines Experience in Data Modeling, database design, and optimizing data structures Hands-on expertise in Extract Transform Load (ETL) processes and tools Knowledge of Data Warehousing technologies and managing data storage solutions Familiarity with Data Analytics and deriving meaningful insights from datasets Strong problem-solving skills and the ability to work collaboratively in a team environment Bachelor's degree in Computer Science, Data Science, or a related field 7+ year of experience in analysis, design, development and delivery of data 7+ years of experience in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformations and data management tools Experience working in Azure Dev Ops (ADO), Build and Release CI/CD pipelines and orchestration Experience with AWS 2+ years of experience with Snowflake, dbt, Matillion or Profisee Understanding of data catalogs, glossary, data quality and effective data governance
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Sprachkenntnisse
- English
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