Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Minimum of 8 years of experience in data engineering, with a strong focus on SQL and data manipulation.
Proven experience working with Snowflake or other cloud-based data warehousing solutions.
Strong background in designing data model and building scalable data pipelines and data models.
Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.
Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
Strong experience with ETL tools and processes.
Familiarity with Tableau, Qlikview, Qliksense
Familiarity with programming languages such as Python.
Knowledge of data governance, security, and compliance best practices.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
