About this role

Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
Perform data manipulation and transformation using SQL and Python
Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
Discover and explore new sources of data with curiosity and creativity
Create and maintain optimal data pipeline architecture
Author detailed and comprehensible documentation of data pipelines and technical solutions
Ensure data quality and completeness

Advanced working SQL knowledge and experience working with relational databases, query authoring
A successful history of manipulating, processing and extracting value from large, disconnected datasets
Experience in Data integrations services (SSIS, Azure Data Factory, etc.)
Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL and/or Python
Good organizational skills and attention to detail
Excellent critical thinking skills to flag complex data challenges
Experience with cloud technologies and Python is a plus
Comfortable working in fast paced, highly collaborative environment
Ability to effectively communicate to different target audiences

Data Engineer – Mid Shift

Key skills