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World Finance · 17 hours ago

Data Engineer

Greenville-Spartanburg-Anderson, South Carolina Area

Full-time

Onsite

Entry, Mid Level

2+ years exp

World Finance is seeking a Data Engineer to implement data-centric solutions to complex business problems. The role involves working with a data architect and the data engineering team to optimize data delivery architecture and collaborate with various cross-functional teams to build data-aware systems and process flows across the enterprise.

ConsultingFinancial ServicesPersonal Finance

Hiring Manager

Arnesha Rector, SHRM-CP

Responsibilities

Protect confidential company information and ensure all data pipelines comply with enterprise security and privacy standards

Assist business, technology, and support partners/stakeholders to deliver secure data solutions

Design, build, and maintain data delivery solutions in accordance with governing data architecture patterns

Model and assemble data sets that meet functional and technical business requirements and AI feature needs

Implement and manage the infrastructure required to optimize ETL/ELT operations, including automated data preprocessing for analytics and AI model consumption

Process file-based data extracts and API integrations using modern data management tools to provide timely loading of critical business data

Identify, design, and implement process improvements in data flows and data pipelines, focusing on automating data tasks

Integrate external systems with internal systems to ensure proper data flow between systems including AI services

Maintain an accurate inventory of data assets, storage systems, and data lineage to support transparency in AI-driven decision-making

Communicate with non-technical stakeholders to determine technical solutions to business problems

Qualification

SQL proficiencyPythonData warehousingETL/ELT operationsData structuresData preprocessing for AITSQL scriptingResearch abilityCommunication skillsProblem-solvingSelf-motivated

Required

Expertise with relational databases and advanced SQL proficiency

Python skills for building and refining data pipelines, with a focus on libraries for data manipulation

Experience working with enterprise-scale data warehousing systems, supporting both internal and customer-facing applications with near real-time transactional data

Expertise in creating and maintaining data structures in SQL

Experience structured and non-structured data paradigms, relational databases, data lake and data warehouse technologies, data vault and dimensional data models

Ability to define problems, collect data, establish facts, and draw valid conclusions

Ability to conduct research into systems issues and emerging data engineering technologies and AI/ML tools to determine integration requirements

Ability to communicate ideas in both technical and user-friendly language

Ability to work with IT operations to quickly come to resolution of open support requests

Self-motivated and able to work within a project-based environment

Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and nontechnical audiences

Bachelor's Degree in MIS, Computer Science, or related field, or equivalent professional experience

Minimum 2 years of designing and implementing Data engineering solutions

Hands on experience with building productionized data ingestion and processing pipelines

Experience working in business intelligence and data warehousing environments

Experience with MS SQL Server, Integration Services (SSIS)

Strong TSQL scripting abilities and understanding of complex stored procedures, views, data aggregation/manipulation through table joins/queries, database design, normalization, and de-normalization techniques

Demonstrated experience in high-volume data extraction, manipulation, and Bulk Loading ETL/ELT techniques

Industry experience working with large data sets

Preferred

Familiarity with data preprocessing for AI, including feature engineering, data cleansing for model training, and supporting prompt engineering workflows

Experience with Microsoft PowerBI is a plus, experience with a business intelligence and reporting platform preferred

Familiarity with data preprocessing for AI/ML and supporting data structures for LLMs is a plus