Senior Data Engineer I - QuantumBlack, AI by McKinsey at QuantumBlack, AI by McKinsey in New York, NY

Job Description

About this kind of role

What a Senior Data Engineer I - QuantumBlack, AI by McKinsey usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. This role involves transforming raw data into usable formats, ensuring data quality, and optimizing data storage solutions. Senior Data Engineers often collaborate with data scientists, analysts, and software engineers to deliver data-driven insights. They are responsible for the scalability and reliability of data systems.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (such as Snowflake or Redshift), and ETL tools is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment typically thrive in this role.

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