Job Title: Oracle Data Engineer

EDGE: #911204

Location: Fully remote

Job type: 1099 (C2C) or W2 (USC/GC/GC EAD)

Length: 3+ month contract (possible for contract-to-hire

Job Description

hiring an Oracle Data Engineer to develop a large-scale cloud reporting and data analytics platform to support their financial investment client in New York City. What You?ll Do:

Our Enterprise Wealth and Asset Management Consulting practice provides comprehensive risk services through a suite of strategic, outsourcing, and industry-focused operational recommendations that help companies around the world evaluate and enhance their internal audit and risk management functions.

What You?ll Do

Executing projects in an Agile environment

Collaborate with other technical and business experts in the team

Learn and experiment with new technologies and patterns

Follow modern test-driven and automation driven software development methodologies

Keeping the focus of the work in terms of Customer obsession

Partner with technical leads to make clear, simple, and technically sound design decisions

Ability to build supporting data models

What You?ll Bring

Bachelor?s Degree or equivalent in a technology-related field (e.g., Computer Science, Engineering, etc.)

Primary experience needed is with PL/SQL, ETL, Informatica

Experience with Oracle Analytics Cloud (OAC)

Strong working knowledge of Relational Databases like Oracle or Postgres

Advanced experience with PL/SQL and complex queries, views, packages, etc.

Solid experience working and building analytics reports

Experience working with Data Warehousing platforms

Continuous Integration & Continuous Delivery (CI/CD) practices in the data engineering space

Exposure to test automation frameworks that support all types of testing (unit, component, integration, system etc.) executed through CI/CD pipelines, middleware Java

Python, Snowflake, AWS, Finance/Investment experience preferred.

Working experience with other reporting tools like PowerBI or Tableau would be a plus

Knowledge of data intensive application development, data integration, and data pipeline design patterns on a distributed platform

Knowledge of batch job scheduling and dependency management using BMC Control-M for distributed systems

Nice to have experience with cloud native data warehousing and data lake solutions using Redshift, Snowflake, etc.