Data Engineer with AI/ML

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About this kind of role

What a Data Engineer with AI/ML usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. They develop and implement efficient and scalable data architectures to support business intelligence and analytics initiatives. Data Engineers also work to ensure data quality, reliability, and security throughout the data lifecycle. This often involves automating data processes and monitoring system performance.

Tools and skills: Proficiency in SQL, Python or Java, cloud platforms like AWS, Azure, or Google Cloud, and experience with big data technologies such as Spark, Hadoop, and Kafka are generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively with data scientists and business stakeholders often thrive in this role.