Posted:1 day ago|
Platform:
On-site
Full Time
· Optimize data processing jobs for performance and cost-efficiency.
· Work with large datasets from various sources, ensuring data quality and consistency.
· Collaborate with Data Scientists, Analysts, and other Engineers to understand data requirements and deliver solutions.
· Write efficient, reusable, and well-documented code following best practices.
· Monitor data pipeline health and performance; resolve data-related issues proactively.
· Participate in code reviews, architecture discussions, and performance tuning.
· Familiarity with data modeling concepts and data lake/data warehouse architectures.
· Experience with version control systems (e.g., Git) and CI/CD processes.
· Ability to write clean, scalable, and production-grade code.
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