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General Electric Credit Union · 3 hours ago

Senior Data Engineer

Cincinnati, OH

Full-time

Onsite

Senior Level

6+ years exp

General Electric Credit Union is a not-for-profit, member-owned full service financial institution headquartered in Cincinnati. The Senior Data Engineer will play a key role in developing and optimizing GECU's data infrastructure to support the organization's data-driven initiatives by designing, building, and maintaining scalable data pipelines and systems.

Financial ServicesLegalNon ProfitReal Estate

Responsibilities

Design, implement, and maintain robust, scalable, and high-performance data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data

Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions

Develop and maintain data warehouse and data lake solutions, ensuring data quality, integrity, and reliability

Optimize data pipelines and ETL processes for performance, efficiency, and cost-effectiveness, utilizing best practices and technologies

Implement data governance and security measures to ensure compliance with regulatory requirements and data privacy standards

Troubleshoot and resolve issues related to data processing, data quality, and system performance in a timely manner

Evaluate and recommend new technologies, tools, and frameworks to enhance the organization's data infrastructure and capabilities

Document technical specifications, data lineage, and system architecture to facilitate knowledge sharing and collaboration

Collaborate with other key data employees to maintain and publish data definitions and data catalogue

Stay up to date with industry trends and emerging technologies in data engineering and analytics

Qualification

Data EngineeringETL processesData WarehousingPythonCloud platformsData modelingProblem-solvingCommunication skillsMentoring

Required

High school diploma, or GED required; Bachelor's degree in Computer Science, Engineering, or related field; Master's degree is a plus

Minimum 6 years' experience in Data Engineering; working with data warehousing concepts, database technologies (e.g., SQL, NoSQL), and distributed computing architectures

Strong programming skills in languages such as Python, Java, Scala, or SQL, with experience in data manipulation, transformation, and analysis

Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform

Extensive knowledge of data modeling, schema design, and optimization techniques for relational and non-relational databases

Excellent problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex technical issues

Strong communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels

Ability to perform independently and competently to accomplish necessary deliverables accurately and on time

Ability to assist and mentor Junior Data Engineers