Join a dynamic Investment Management firm as a Data Engineer, where you'll play a crucial role in shaping data products that drive decision-making. This hands-on position is perfect for someone who enjoys working with both structured and unstructured data.
As a Data Engineer at this Investment Management firm, you'll be instrumental in delivering reliable data products that support various decision-making processes. Your role will involve designing, building, and maintaining modern data platforms, ensuring they operate smoothly in production environments. You'll work closely with both structured and unstructured data, which means you'll need to be comfortable handling diverse data types and sources.
In your day-to-day work, you'll be responsible for creating scalable ELT and ETL pipelines. This involves not just the technical aspects of data ingestion and processing, but also ensuring that the data is trustworthy and accessible for users across the organization. You'll contribute to practices that enhance data quality and governance, making sure that the data products meet the firm's high standards.
This role is ideal for someone who is curious and passionate about data engineering. You should have a solid foundation in Python and PySpark, along with experience in cloud platforms like Azure or AWS. If you enjoy working in a collaborative environment where your contributions can significantly impact the business, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.