ORACLE DATA ENGINEER @ TROOBELL
Troobell is currently seeking a highly skilled Oracle Data Engineer for a C2C role based in the United States. This position is a 6-month contract with the possibility of extension and follows a hybrid work model. Candidates have the flexibility to work from either Merrimack, New Hampshire, or Durham, North Carolina, and the company is open to candidates who are willing to relocate to these areas to fulfill the hybrid requirements. The role focuses on developing and maintaining robust data architectures using Oracle technologies to support business intelligence and reporting needs.
As an Oracle Data Engineer, you will be responsible for designing ETL processes, optimizing database performance, and ensuring the seamless flow of data across various systems. You will collaborate with cross-functional teams to translate business requirements into technical specifications. Applicants must hold either US Citizen (USC) or Green Card (GC) status to be considered. Additionally, a professional LinkedIn profile with a photo is required for the screening process to verify the candidate's professional background and experience.
As an Oracle Data Engineer, you will be responsible for designing ETL processes, optimizing database performance, and ensuring the seamless flow of data across various systems. You will collaborate with cross-functional teams to translate business requirements into technical specifications. Applicants must hold either US Citizen (USC) or Green Card (GC) status to be considered. Additionally, a professional LinkedIn profile with a photo is required for the screening process to verify the candidate's professional background and experience.
Key Requirements
Must be a US Citizen (USC) or Green Card (GC) holder.
Possess a valid LinkedIn profile with a professional photo.
Extensive experience working with Oracle Database environments.
Proven proficiency in SQL development and performance tuning.
Experience in designing and implementing complex ETL processes.
Ability to work in a hybrid setting in Merrimack, NH or Durham, NC.
Solid understanding of data modeling and data warehousing concepts.
Strong analytical skills for troubleshooting data-related issues.
Experience with shell scripting or Python for automation tasks.
Excellent communication skills to work with technical and non-technical stakeholders.