Assistant Manager - Data Engineering

Job Description:

Responsibilities for Data Engineer (AM Role)

• Develop data pipelines in Python, SQL - build reusable python components.
• Good understanding of Individual Insurance Markets
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Team management. Exhibits strong understanding of core business processes and the purpose of the team.
• Build strong relationships with US teams to identify and deliver enhancements .
• Provide regular updates to stakeholders and discuss solutions to potential problem areas.
• Drive opportunities to leverage / improve quality & efficiency
• Guiding team on implementing solutions using appropriate analytical tools & techniques
• Project management skills with an emphasis on identifying and solving complex business issues, ability to plan, organize and set priorities.

Qualifications for Data Engineer (AM Role)

• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• We’re looking for someone with 10+ years of experience manipulating data sets and is familiar with the following software/tools:
• Coding knowledge and experience with: Python, SQL, etc.
• Experience querying databases and using statistical computer languages: Python, SQL, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Salesforce, Neustar, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.