Data Engineer Lead
3 weeks ago
We are seeking a highly experienced Data Engineer to lead our team in developing scalable data pipelines and ensuring seamless integration of ML models with data pipelines.
Key Responsibilities:
- Develop, maintain, and optimize large-scale data pipelines using cloud services (Azure, AWS, GCP).
- Create efficient ETL processes for data transformation and preparation.
- Collaborate with data scientists to deploy machine learning models and ensure their seamless integration with data pipelines.
- Work with business teams to enhance data models that feed business intelligence tools.
- Maintain data consistency across different data sources.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Advanced Python knowledge for data processing and scripting.
- Hands-on experience with one or more cloud services (Azure, AWS, GCP).
- Proficiency in RDBMS/NoSQL data stores and appropriate use cases.
- Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
- Good communication skills, fluent English.
Estimated Salary: $140,000 - $180,000 per year, depending on experience and location.
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