Data Engineers/Scientist
Core
A hybrid role bridging Data Engineering and Analytics, focusing on validating datasets, performing exploratory analysis, and translating business questions into data outputs.
Role type
Mid-level Data Engineer/Analyst
Builds
Reliable data pipelines and analytical outputs for business stakeholders
Domain
Data Engineering and Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python (pandas, NumPy), data validation, exploratory data analysis (EDA), problem-solving, translating business questions to data outputs
Preferred skills
Experience with complex/imperfect datasets, stakeholder communication
Technologies
Python, pandas, NumPy
Responsibilities
Perform exploratory data analysis (EDA) and validate datasets; Use Python for data analysis and problem-solving; Translate client and business questions into clear data outputs; Investigate data and communicate findings to stakeholders; Apply data engineering best practices to ensure data reliability; Engage with stakeholders to understand analytical requirements