Description:

Play a critical role in processing and handling data for machine learning and data science initiatives.
Design, build, test, optimize, and maintain data pipelines and architectures for the business.

Requirements:

Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or related field.
3+ years of experience in data engineering, data platforms, BI, or related domain.
Experience with data-centric applications, large-scale production relational and NoSQL databases, and data modeling.
Proficient in SQL and familiarity with one scripting language, preferably Python.
Experience with Apache Airflow & Apache Spark, and solid understanding of AWS cloud data services.

Skills

Benefits