The data engineer designs and develops data models,
collects and analyzes data for insights and communicates how those
findings improve reliability, customer experience, profitability
and other relevant factors. He / She also captures, transforms and
stores clean data, leaving it ready for consumption. This role will
be integral in ensuring the quality of the data collected, and the
ability to leverage that data to create meaningful information for
technical performance and strategic business decision making. It
will provide the data insights and trends needed to evolve the
product based on user behaviours and data trends. RESPONSIBILITIES
AND DUTIES Ensure data requirements and delivery of robust and
complete roadmap Assess data to determine strategic approach to
data management and identify data dictionary Identify data security
requirements and assess risk to determine security features Assess
computational power required derived from data and analytics
technology Estimate milestones, resources and costs Produce data
via SQL and other programming tools Develop reports and dashboards
Design and develop data and information structures Capture data and
modify programs to extract information from company databases
Engage with data scientists and translators to understand how data
should be presented Improve data availability, acting as the link
between the IT and analytics team KNOWLEDGE AND SKILLS SQL
knowledge Deep knowledge of machine learning, statistics and
optimization Advanced knowledge of statistical techniques, data
mining, machine learning (regression, decision trees, clustering,
random forests, generalized linear models, etc.) Experience in
database development and data model design QUALIFICATIONS AND
EXPERIENCE BS / BA (preferred MS) degree preferably in computer
science, statistics, mathematics or equivalent mix of education and
experience 5+ years of experience in analyzing and preparing data,
including considerable experience with very large data sets and
unstructured data Strong experience in database development and
model design Experience with R, Python, Matlab, C programming, C++,
Java, Hadoop, Hive, Map reduces, Teradata, QSTK DESIRED ATTRIBUTES
AND BEHAVIOURAL COMPETENCIES Strong business and collaboration
skills Skills to respond to service needs and operational demands
Problem solving skills Attitude to thrive in a fun, fast rhythm of
getting started as an environment Able to build a sense of trust
and rapport that creates a comfortable and effective workplace
SPECIAL CONDITIONS Regularly work extended and irregular hours.
Pressure / stress from the need to meet tight deadlines FUNCTIONAL
RELATIONSHIPS External : Internal : Business leads PERFORMANCE
CRITERIA Timely delivery of agreed daily, weekly and monthly
KPIs
Data Engineer • Remote, United States