Data Engineer
Summary
Designs and maintains data pipelines, optimizes SQL schemas, and ensures reliable ETL processes for analytics and reporting.
At least 3 years of relevant professional experience.
- Background in one or more of the following: Database administration, Data Engineering, ETL loading and ingestion, data classification and normalization, SQL and schema optimization.
- Skills in Linux system administration, web server management, and networking are beneficial.
- Experience with Kubernetes is an advantage.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Accounting/Auditing
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