Data Engineer / ML Engineer

🚨 Hiring: Senior Data Engineer / ML Engineer with Python & ETL Development experience (Recent Banking Domain experience) 🚨 📍 Client: Reputed Bank 📍 Location: New York, NY (Hybrid – 3 Days Onsite) - Local candidates only with location mentioned in their LinkedIn Profile 🛂 Visa: USC / GC Only ⚠️ Note: Local candidates only (Face-to-Face interview required) 🔍 About the Role We are looking for a Senior Data Engineer / ML Engineer with strong banking domain experience to join a high-impact team within Global Banking Technology. You will work on cutting-edge platforms supporting private banking products, including lending, cash management, and digital banking solutions. 💡 Key Responsibilities Build and optimize data engineering pipelines using Spark & Cloud technologies Develop and enhance Machine Learning & Statistical Models Collaborate with Quantitative Strategists / Modelers Work on ETL development, data integration, and migration Re-engineer risk models for better performance & scalability Provide technical leadership & mentorship Drive cloud strategy initiatives 🛠️ Required Skills 10+ years of experience Strong in Python, PySpark, Spark, PyTorch, Java, C++ Hands-on with Databricks, Snowflake, MLflow Strong SQL & database programming (Teradata, DB2, SQL Server, Snowflake) Experience with ETL tools (Informatica) Strong understanding of Machine Learning & Statistics Unix/Linux scripting (Shell/Perl) ⭐ Nice to Have Banking / Financial industry experience Risk model development Cloud platforms (Azure preferred) Scala, AngularJS, KDB 🎯 What We’re Looking For ✔️ Strong problem-solving mindset ✔️ Leadership & mentoring ability ✔️ Experience working in complex, enterprise environments ✔️ Ability to design scalable, high-performance solutions 📩 Interested or know someone who fits? Please share your resume with LinkedIn URL to [Upgrade to PRO to see contact] #Hiring #DataEngineer #MLEngineer #Python #Spark #Databricks #Snowflake #BankingJobs #NewYorkJobs #C2C #HiringNow #AIJobs