Data Analytics/Engineer (Python and MS Fabric exp)
Core
Architecting scalable data solutions, leading predictive modeling frameworks, and driving GenAI initiatives to automate financial reporting and analytics within the professional information services sector.
Role type
Senior Data Analytics/Engineering Lead (GenAI & Cloud)
Builds
Scalable analytics platforms, predictive models, and GenAI-powered automation for financial insights.
Domain
Professional Information Services / Finance / Cloud Data Engineering
Deliverable
production ML models | infrastructure | dashboards & analysis
Required skills
Python, PySpark, SQL, Microsoft Fabric, Azure Data Factory, dbt, Apache Airflow, Snowflake, Synapse, CI/CD, Data Modeling, Performance Tuning, Generative AI, NLP
Preferred skills
Master's degree in Data Science/CS, Team Leadership, Mentoring, Stakeholder Management
Technologies
Microsoft Fabric, Azure, AWS, Snowflake, Synapse, Git, Apache Airflow, dbt, Informatica
Responsibilities
Architect scalable data solutions across cloud platforms; Lead end-to-end lifecycle of data science projects including model development and deployment; Drive GenAI strategy to automate financial reports and data summaries; Design and implement scalable analytics platforms; Analyze large datasets to identify trends for decision-making; Lead data governance initiatives and optimize ETL/ELT processes.
Seniority
Senior, hands-on IC with leadership responsibilities
