Data Engineer

Data Engineer

Department

None

Job Description

1. 6+ years of technical experience across varied projects handling complex, heavy data sets, specifically for financial institutions (banks, asset managers, investment banks)
2. Tech stack:
   1. Must-have: Python, Pandas, Numpy, Matplotlib
   2. Good to have: SQL, Snowflake
3. Should be able to comprehend complex Excel financial models, and break it down into manageable components
4. Can partner closely with business to specify and understand requirements, ask questions, write down goals & tech specs in documentation
5. Prior experience writing complex logic in Python to transform time series data; please note PySpark is not a substitute for Python for this requirement
6. Can write auditable, well documented Python code that replicates the logic in an Excel model as well as for business needs to transform data

Open Positions

1

Mandatory Skills

ETL

Education Qualification

MTech / MSc (Financial Engineering), Bachelor of Engineering

Experience

4 to 10 years