Financial Data Engineer

📋 Description

• Aid in the identification and resolution of QA bugs associated with data pipelines and processes.

• Ensure the accuracy, completeness, and consistency of data.

• Engage in the design, construction, and maintenance of data pipelines.

• Execute data transformations, cleansing, and ETL processes.

• Collaborate with senior engineers to improve pipeline efficiency.

• Assume responsibility for smaller features within the data pipeline.

• Develop code for data ingestion, processing, and storage.

• Lead a minor independent project focused on data engineering.

• Select a topic of interest (e.g., enhancing pipeline performance, automating data validation).

• Share your findings and recommendations with the team.

⛳️ Requirements

• Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Information Technology, Data Science, Business Analytics, Business Intelligence, or a related discipline.

• Skilled in SQL, Python, and PySpark.

• Familiar with Azure services such as Data Factory, Synapse, Databricks, and Azure Functions.

• Experienced in data integration using APIs.

• Knowledge of data visualization tools (Power BI, Tableau).

• Understanding of Gen AI and ML concepts or prior experience in these areas.

• Strong problem-solving skills.

• Capable of effectively documenting business requirements.

• Excellent communication and teamwork abilities.

• Visual design skills are a bonus.

🏝️ Benefits

• Competitive compensation.

• Generous 401(k) program in the US and comparable programs internationally.

• Health benefits and initiatives that promote both physical and mental well-being.

• Flexible work environment, depending on your role.

• Valuable opportunities for continuous learning and growth.

• Half-day Fridays, depending on your location.