Data Production Engineer

Requirements

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline
• Experience in Python strongly preferred
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

What you'll be doing

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Nice to haves

• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus

Perks and benefits

• Culture that values openness, transparency, and celebrates great ideas from all team members
• Diverse and inclusive working environment with offices globally
• Equal opportunity employer where everyone is valued