Python Modeler

Our client is looking for a Python Modeler with a Contract project in New York, NY

below is the detailed requirement.

Position: Python Modeler

Location: New York, NY

Duration: Contract

Job Description:

Responsibilities:

• Lead the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake.
• Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
• Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.
• Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.
• Drive automation, data quality, and best practices across all data engineering processes and solutions.
• Ensure robust data governance, security, and compliance throughout the data lifecycle.
• Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.
• Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.

Required Technical Skills:

• 10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.
• Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines.
• Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.
• Strong hands-on experience with Python, Shell scripting, and workflow automation.
• Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases.
• Proven ability to lead, motivate, and develop high-performing teams.
• Strong domain and functional knowledge in finance, investment banking, or related industries.
• Excellent problem-solving, analytical, and communication skills.
• Experience managing stakeholder relationships and delivering complex projects in a global environment.
• Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.

Additional Skills (Good to Have):

• Familiarity with Power BI, Apache Airflow, and OLAP tools.
• Exposure to regulatory and financial reporting requirements.
• Demonstrated track record of driving innovation and GenAI adoption in data engineering projects.
• Passion for continuous learning, business impact, and solution-oriented leadership."