Data Engineer- New York, NY- Write tools to classify, onboard, & reconcile data & onboard datasets using Airflow, explore data, & automate tasks using a modern Python data stack. Develop & test architecture that enables data extraction & transformation for predictive or prescriptive financial modeling. Perform data engineering, reconciliations, validation, & quality checks, & identify & develop new processes within the data request process to enrich data. Utilize Python & SQL programming to develop scalable data storage & distributed systems for advanced research, statistics, & data analysis. Evaluate, parse, enhance, & normalize data by performing initial quantitative analysis to assess suitability of data under trial & develop pipelines to automate processes. Compile &, analyze & provide internal teams with alternative datasets & market & financial data used to develop influential business & trading strategies across all asset classes, enhance the data workflows around existing datasets for more productive research, & normalize key data metrics across multi data vendors & deliver platforms.
Requirements: Bachelor (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, or a closely related field, plus 2 years of experience in the position offered, or Software Engineer, or related experience. All required experience must have included: Experience performing data reconciliations, validations, & quality checks using Python. Experience automating tasks to enhance Real Time Data (RTD) efficiency, data cleaning, debugging data issues using Python. Experience debugging code issues using data & stack trace analysis. Experience producing high-quality ingestible data for downstream users. Experience optimizing distributed systems using Python. Employer will accept any amount of professional experience with the required skills.
To apply: email resume to [email protected] & reference code in subject line: KC497596.
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