Über
Roles & Responsibilities • Design, build, and maintain robust and scalable ETL/ELT pipelines using SQL and Python. • Architect and implement high-performance data models that support both real-time and batch processing. • Optimize complex SQL queries for performance, scalability, and reliability across large datasets. • Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers. • Own and improve data quality, validation, and governance processes. • Monitor data pipelines and proactively address performance and reliability issues. • Mentor and support junior data engineers through code reviews, design sessions, and technical leadership. • Document data flows, definitions, models, and architecture for internal stakeholders and governance purposes. • Participate in architectural decisions and contribute to long-term data platform strategy.
Salary Range:$70,000-$133,000 a year
Sprachkenntnisse
- English
Hinweis für Nutzer
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