A Data Engineer is responsible for building and maintaining the data architecture that supports AI and
machine learning models. They ensure data is clean, accessible, and available for analysis.
Job Responsibilities
Build and maintain data pipelines for large datasets
Ensure data is clean and ready for analysis
Design and optimize data architecture for AI models
Work with data scientists to understand data requirements
Integrate data from various sources into a unified system
Monitor and troubleshoot data pipeline issues
Required Skills
Proficiency in programming languages like Python, Java, or Scala
Experience with big data tools like Hadoop, Spark, or Kafka
Strong understanding of databases (SQL and NoSQL)
Knowledge of cloud platforms like AWS, Azure, or GCP
Expertise in ETL (Extract, Transform, Load) processes
Familiarity with data modeling and data warehousing techniques