Description

You will design and implement production-grade data analytic solutions at scale, leading analysts and engineers to mature proof-of-concepts into hardened systems.

Responsibilities

• Lead data analysts and engineers to transition proof-of-concepts into production-ready analytic solutions.
• Develop SQL queries to extract insights from large-scale datasets exceeding 100GB.
• Leverage statistical techniques to cross-examine multiple data sources for patterns and abnormalities.
• Implement scalable data analytic solutions using Scala, Python, and PySpark.

Required Skills

• 7+ years of experience designing and implementing production-grade data analytic solutions.
• 5+ years of experience working with large-scale data (100GB+).
• 3+ years of hands-on experience with AWS EMR, Airflow, and RedShift.
• 3+ years of experience with Business Intelligence tools such as Tableau, Cognos, Qlik, or Pyramid.
• 3+ years of experience applying statistical techniques to identify data patterns.
• Proficiency in Scala, Python, PySpark, and SQL.
• Bachelor’s degree in Computer Science, Engineering, or a quantitative field.

Key Skills

Education

ANY GRADUATE