Data Engineer (AI)

TL;DR

Data Engineer (AI): Designing, building, and maintaining scalable data pipelines and data infrastructure for AI and real-time data analysis with an accent on data quality, security, and compliance. Focus on developing ETL processes, optimizing data models, and collaborating with data scientists to deliver comprehensive data solutions.

What you will do

• Design, build, and maintain scalable data pipeline architectures
• Develop ETL processes to integrate data from multiple sources
• Create and optimize data models for efficient storage and retrieval
• Implement data quality controls and monitoring systems
• Collaborate with data scientists and analysts to deliver data solutions
• Build and maintain data warehouses, data lakes, reports, and dashboards

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years experience in data engineering
• Strong proficiency in SQL and Python
• Experience with ETL tools, data warehousing, and big data technologies (Hadoop, Spark)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with data visualization tools (Tableau, Sisense)
• Strong problem-solving, analytical, communication, and collaboration skills