Manager Data Engineering and Analytics
- Collaborate on the
creation and maintenance of optimal data pipeline architectures
- Identify,
design, and implement internal process improvements: automating manual
processes, optimizing data delivery, re-designing infrastructure for greater
scalability, etc.
- Work with peers
to 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
- Lead a team to assemble large,
complex data sets that meet functional / non-functional business requirements
- Build analytics
tools that utilize the data pipeline to provide actionable insights into
customer acquisition, operational efficiency, and other key business
performance metrics
- May also be
called on to perform tasks related to Data Engineering and setting up analytics
environment
- Work with stakeholders
including the Executive teams to assist with data-related technical issues and
support their data infrastructure needs
- Keep our client's data
separated and secure across national boundaries through multiple data centers
and AWS regions
- Work with data
and analytics experts to strive for greater functionality in our data systems.
- Analyze,
validate, prioritize, and provide cost estimates for service requests and
project work
- Develop and
maintain an analytics roadmap in conjunction with the overall Data Architecture
roadmap
- Work with
project managers to develop project plans and manage to the plans
- Develop and
publish standards that govern the data engineering and analytics domain.
- Establish
service delivery metrics for service requests and project work.
- Perform career management functions for the data
analytics team including establishing annual goals and development plans,
annual reviews, and compensation planning.
Requirements
Experience with
AWS S3, Sagemaker, Step Functions and other AWS toolsets
Experience with
Microsoft SQL Server
Experience with
Boomi or other IPaaS tools
Experience with
Extract, Transform and Load (ETL) methodologies and tools
Experience with
Python or R scripting.
Ability
to manage multiple projects