Data Engineer (Oracle)

Rapinno Tech; Comunidad Los Cajones (PR); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading tech company located in Puerto Rico is seeking a skilled Data Engineer with 8-10 years of experience. The ideal candidate will have a strong background in Oracle PL/SQL development, ETL processes, and data warehouse implementations. Familiarity with Cloud platforms like AWS and Snowflake is a plus, as well as proficiency in Agile methodologies. Excellent analytical and communication skills are essential. This role offers the opportunity to work on exciting data projects in a dynamic environment.

Qualifications

• Minimum of 8 - 10 years of data engineering experience required.
• Hands-on experience working on a Cloud data platform.
• Software product development experience in Equity and Fixed Income Research.

Skills

Oracle PL/SQL development

ETL Development

Data Warehouse implementations

Scripting languages

Unix Shell Scripting

AWS

Snowflake

Agile Methodologies

Strong analytical skills

Excellent communication skills

Job description

Minimum of 8 - 10 years of data engineering experience required

Hands-on experience working on a real or a pilot implementation of a data platform on the Cloud

Software product development experience, in particular, Equity and Fixed Income Research.

A curiosity about Quantitative, Multi-Dimensional Analysis, working with data and data tools. Proficiency in usage of Excel for numeric analysis would be a plus

The Skills You Bring

Expert Oracle PL/SQL development skills and Oracle Performance tuning

ETL Development, primarily in Informatica. Demonstrated Experience in Data Warehouse implementations in a technical leadership capacity

Proficiency in Scripting languages and Unix Shell Scripting and Autosys job scheduler are strongly desired. Entry level proficiency of AWS and Snowflake is a plus.

Experience with a structured application development methodology, using any industry standard Software Development Lifecycle, in particular Agile Methodologies

Strong analytical and troubleshooting skills

Excellent written and oral communication skills.