Application Programming Interface (API), Asset Management, Cloud Computing, Data Formats, Data Modeling, Data Processing, Data Storage, Database Extract Transform and Load (ETL), Engineering Management, Financial Compliance, Financial Services, JSON, Microsoft Windows Azure, Python Programming/Scripting Language, SQL (Structured Query Language), Software Engineering, Warehousing
Must Have Skills: 2-5 yrs genuine "Modern Data Platform" engineering experience. Fabric is strongly preferred, but happy to consider strong Databricks/Snowflake or similar engineers. Python/Pyspark engineering. Data processing (ETL/ELT). SQL. Data modeling. Data architecture concepts/patterns. Cloud platform engineering/support.
Investment compliance knowledge, financial services, asset management
Requirements:
- MS Fabric experience/understanding
- Working experience in Azure for data ingestion
- Azure Data Factory
- API based ingestion
- data storage formats
- warehouse and Lakehouse
- handling csv, Json, parquet file formats
- data modelling
- medallion architecture
- optimized transformations using PySpark