Join a dynamic investment management firm as a Data Engineer, where you'll play a crucial role in building and maintaining data platforms. This position is perfect for someone who is passionate about data and eager to ensure its quality and accessibility.
As a Data Engineer at this investment management firm, you will be instrumental in creating and managing data products that support various decision-making processes. Your work will involve both structured and unstructured data, ensuring that the data is reliable and accessible for the firm's needs. This role is ideal for someone who enjoys working with data and is eager to contribute to the evolution of the enterprise data platform.
In your day-to-day responsibilities, you will design, build, and operate scalable ELT and ETL pipelines. This means you will be responsible for the entire data lifecycle, from ingestion to consumption. You will also implement practices that enhance data quality, governance, and observability, ensuring that the data products meet the firm's standards and requirements.
The role suits someone with a strong background in Python and PySpark, as well as experience with cloud platforms like Azure or AWS. You should be comfortable working in production environments and have a passion for data engineering. If you are looking to make a significant impact in a collaborative and innovative setting, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.