Strategy & Consulting | Data Engineering
Core
Design and implement scalable ETLs, data quality checks, and data pipelines to support client analytics and machine learning models.
Role type
Senior Data Engineer (Consulting)
Builds
Scalable data pipelines and robust data architectures for client projects
Domain
Data Engineering / Cloud / Machine Learning
Deliverable
production ML models | product features
Required skills
AWS or Azure, SQL (intermediate/advanced), Python, PySpark, DBT, Airflow, Data Quality Checks, Team Leadership
Preferred skills
AI Agents, LLM solutions, Machine Learning models (Decision Trees, Regression, Neural Networks), Data Visualization libraries
Technologies
AWS, Azure, Python, PySpark, SQL, DBT, Airflow, pandas, numpy, scikit-learn
Responsibilities
Design and implement scalable ETLs and data pipelines; Develop and implement data quality checks; Collaborate with Data Scientists to design data structures; Lead junior team members and make modeling decisions; Interpret client requirements to estimate effort and impact; Work with diverse data sources for validation and transformation.
Seniority
Senior, hands-on IC with leadership responsibilities