Data Engineer

Global Business Ser. 4u; Greenville (RI); On-site; USD 110,000 - 170,000; Full time

Job summary

Global Business Ser. 4u in Rhode Island seeks an experienced Data Engineer (PL/SQL) to design, build, and maintain data pipelines and architectures for an FI - MDM Investible Universe project.

You will collaborate with data scientists and analysts, optimize ETL workflows, and ensure data security and integrity across systems, enabling timely insights for critical decision-making. This on-site role requires strong PL/SQL and Python skills.

Qualifications

• 7+ years of experience in data engineering or related roles.
• Very strong PL/SQL, Python and generic ETL tools
• Strong knowledge of databases (SQL/NoSQL), data warehousing, and data modeling.
• Ability to troubleshoot and optimize data pipelines.

Responsibilities

• Design and implement robust data pipelines for ETL processes.
• Build and maintain scalable data architectures and databases.
• Collaborate with data scientists and analysts to ensure data availability and quality.
• Optimize data workflows for performance and efficiency.
• Ensure data security, compliance, and integrity across systems.

Job description

We are seeking 2 experienced Data Engineers (PL/SQL) for a critical project in FI - MDM Investible Universe.

We are seeking a skilled Data Engineer to design, build, and maintain data pipelines and architectures. You will be responsible for ensuring the efficient collection, transformation, and storage of data, enabling data analysis and decision-making across the organization.

Client is looking for a team to assist in developing new capabilities to accommodate the expansion of the universe on our current reference data management platform. We require support to enhance our existing platform with additional functionalities. The goal is to build new capabilities that align with our expansion plans.

Key Responsibilities

• Design and implement robust data pipelines for ETL processes.
• Build and maintain scalable data architectures and databases.
• Collaborate with data scientists and analysts to ensure data availability and quality.
• Optimize data workflows for performance and efficiency.
• Ensure data security, compliance, and integrity across systems.

Qualifications

• 7+ years of experience in data engineering or related roles.
• Very strong PL/SQL, Python and generic ETL tools
• Strong knowledge of databases (SQL/NoSQL), data warehousing, and data modeling.
• Ability to troubleshoot and optimize data pipelines.

At: [e-mail]