
Data Engineer Specialist
12 hours ago
ROLE OBJECTIVE:
We are seeking a highly skilled Data Engineer to design, implement, and optimize data pipelines and architectures that support our AI and machine learning initiatives.
The ideal candidate will play a crucial role in enabling scalable, reliable, and efficient data processing.
RESPONSIBILITIES:
- Design, build, and maintain scalable and efficient data pipelines to efficiently extract, transform, and load (ETL) data from various sources to support various data processing and analytics needs.
- Integrate structured and unstructured data from diverse sources, ensuring high data quality, availability, and consistency.
- Deploy and manage data solutions on cloud platforms with a focus on performance, cost-efficiency, and security.
- Develop and implement feature engineering techniques to transform raw data into meaningful input for machine learning models.
- Collaborate with ML engineers and domain experts to annotate and label datasets, ensuring that the data is accurately categorized for training LLMs and other AI models.
- Perform thorough data cleaning and preprocessing tasks, including handling missing values, removing duplicates, and normalizing data to ensure consistency and reliability in data pipelines.
- Establish and enforce data quality standards, conducting regular audits and validations to maintain the integrity and accuracy of datasets used for training and inferencing.
- Work closely with data scientists, ML engineers, software engineers, and other stakeholders to ensure alignment on project goals, timelines, and deliverables.
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Data Engineer
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Cloud Data Engineer
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Data Architect
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Big Data Pipeline Developer
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