Senior Data Engineer

Responsibilities

• Develop advanced data engineering solutions that power critical investment decisions
• Design robust data models and ETL pipelines
• Apply modern Dev Ops and Agile practices

• Strong software development background in the Financial Industry
• Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
• Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake
• Passion for learning new technologies and analyzing data to identify gaps and build solutions
• Ability to independently address technical challenges and develop innovative solutions
• Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
• In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
• Basic proficiency in Java, Python, REST API, and AWS is advantageous
• Experience with Agile methodologies (Kanban and SCRUM) is a plus
• Excellent written and oral communication skills

Demonstrates expertise in developing advanced data engineering solutions, including robust data models and ETL pipelines, while applying modern Dev Ops and Agile practices. Proficient in Oracle PL/SQL, SQL Scripting, and data warehousing technologies to support critical investment decisions.