Data Engineer
Core
Design and implement data pipelines and analytics tools to extract, transform, and load data from diverse sources, providing actionable insights into customer business performance metrics.
Role type
Data Engineer
Builds
Data pipelines, business solutions, and analytics tools
Domain
Banking / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, ELT/ETL tools (KNIME, Alteryx, Pentaho), Python, data warehousing concepts, data modeling, Git/DevOps
Preferred skills
Python, scripting
Technologies
SQL, KNIME, Alteryx, Pentaho, Git, Python
Responsibilities
Assemble large, complex data sets meeting business requirements; Identify, design, and implement internal process improvements; Build data pipelines for optimal extraction, transformation, and loading; Build analytics tools utilizing data pipelines; Work with stakeholders to support data pipeline needs; Create data solutions for analytics and data scientist teams; Drive reusability and standardization of data systems.
Seniority
Mid-level (2+ years experience)
