Data Engineer

Overview

• Strong proficiency in Python
• Experience building data pipelines
• Hands-on experience with XGBoost
• Strong understanding of time-series forecasting
• Experience with ML lifecycle (training → evaluation → deployment)
• Knowledge of data processing frameworks (Pandas, NumPy, etc.)
• Experience with SQL & databases
• Understanding of microservices architecture
  
  

• Experience working with IoT data
• Knowledge of streaming platforms (Kafka, Spark Streaming)
• Familiarity with cloud platforms (AWS / Azure / GCP)
• Experience with MLflow or similar MLOps tools
• Experience with time-series databases
  
  

NA

Nice to have

NA

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  
  

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.