Data Analytics/Engineer (Python and MS Fabric exp)
Core
Architect scalable data solutions, lead predictive modeling and GenAI initiatives, and drive data governance for finance and business decision-making.
Role type
Senior Data Analytics/Engineering Lead (GenAI & Cloud)
Builds
Scalable analytics platforms, predictive models, GenAI-powered automation for financial reporting, and robust data infrastructure.
Domain
Finance / Data Engineering / Generative AI
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Microsoft Fabric, Azure Data Factory, dbt, Apache Airflow, Snowflake, Synapse, CI/CD, Git, Data Modeling, Performance Tuning
Preferred skills
Master's degree in Data Science/CS, Leadership experience, GenAI strategy expertise
Technologies
Microsoft Fabric, Azure Data Factory, Snowflake, Synapse, Apache Airflow, dbt, PySpark
Responsibilities
Architect scalable data solutions across cloud platforms; Lead end-to-end lifecycle of data science projects including model development and deployment; Design and implement scalable analytics platforms; Lead initiatives leveraging Generative AI to automate financial reports and data summaries; Drive data governance initiatives by implementing data quality frameworks; Collaborate with finance teams to automate reconciliations and variance analysis.
Seniority
Senior, hands-on IC with leadership responsibilities
