Data Engineer

Job Summary

The role is tasked with manipulating, processing and extracting value from large, disconnected datasets; coupled with building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. The role holder will be flexible to work with various stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Job Details

· Create and maintain optimal data pipeline architecture.

· Assemble large, complex data sets that meet functional / non-functional business requirements.

· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

· Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

· Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

· Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.

· Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

· Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

· Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

· Strong analytic skills related to working with unstructured datasets.

· Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

· Build processes supporting data transformation, data structures, metadata, dependency and workload management.

· A successful history of manipulating, processing and extracting value from large, disconnected datasets.

· Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

About Company

Reliance Health

www.reliancehmo.com

Reliance Health uses Technology to Make Healthcare Accessible and Affordable. Through an integrated approach that includes affordable health insurance, telemedicine and a combination of partner and proprietary healthcare facilities, Reliance Health offers innovative healthcare solutions that meet the needs of emerging markets.