Data Engineer

• Create fault-tolerant batch and real-time data pipelines with scalable functions to extract huge datasets across several platforms, including location and time series data
• Examine existing data processes to find opportunities for improvement
• Collaboration with product management, technical program management, operations, and other engineers should be effective
• Create and put into practice remedies that enhance scalability, performance, cost-effectiveness, and data quality

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data engineer
• Knowledge of Snowflake UDFs/stored procedures
• Familiarity with Apache Airflow
• Experience with Python
• Knowledge of SQL
• Expertise in Java and Amazon RDS is a plus
• Knowledge of AWS and PyTest framework is desirable
• Proficiency in English