Data Engineer
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About the Role
Required Technical Skills
Years of Experience 6 to 9 Years
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
Responsibilities
Preferred Skills
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
Requirements
NA
Nice to have
NA
We offer
Opportunity to work on bleeding-edge projectsWork 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
About us
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.
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