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 ideal 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 maintaining data products that support various decision-making processes. Your work will involve designing, building, and operating data platforms that handle both structured and unstructured data. This role is perfect for someone who enjoys working with data and wants to make a tangible impact on the organization’s operations and client interactions.
In your day-to-day tasks, you will be responsible for: • Developing scalable ELT and ETL pipelines to ensure efficient data processing. • Managing data ingestion processes and ensuring that the data is reliable and accessible. • Contributing to data quality and governance practices to maintain high standards in data management.
The ideal candidate will have a strong background in Python and PySpark, along with experience in cloud platforms like Azure or AWS. You should be comfortable working in a production environment and have a keen interest in evolving data technologies. If you are curious, passionate about data, and ready to take ownership of data products, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.