Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2

Administrative professional with technical background who backfilled the VP of EPAM. Delivered services to the one of the biggest hedge fond of the world (financial/trading domain).
Macroeconomic data analysis
extract macroeconomic data (gdp, cpi, ppi, flow of funds) releases from provider web site
convert to custom format using python scripts
check for mistakes, anomalies in data on test environment, launch appropriate reports,
load data to platform 

Market (financial) data analysis:

analyze structure, types of data,
ETL/ELT practice,
relations, define metadata/time series fields and measures of market datasets (export/import commodity data, ownership, equity, financial statements),
used Python libraries to extract and transform data: selenium, pandas, numpy(depends on source of data),
discuss with client results of analysis and provide it to business analysts.