Description

You will build and maintain data pipelines using cloud and database technologies.

• Develop complex data models, stored procedures, and triggers using PL/SQL.
• Engineer and manage ETL processes within a data warehousing context.
• Write and optimize SQL queries against Oracle and Snowflake databases.
• Collaborate across teams to ensure effective data flow and architecture implementation.

• 10+ years of hands-on experience in PL/SQL development.
• Strong proficiency in Python, including data manipulation libraries like Pandas or NumPy.
• Expertise with AWS services.
• Deep knowledge of Snowflake and Oracle Database.
• Proficiency in SQL and PL/SQL.
• Experience with data warehousing and data architecture principles.
• Familiarity with Capital Markets processes and financial data flows.
• Experience with Qlik or Sigma visualization tools.
• Knowledge of Agile development methodologies.

• Familiarity with Tableau or Power BI.

Key Skills

Education

Any Graduate