Senior Data Engineer - Data Analytics

Eclaro - Charlotte, NC

Full-time - Senior

Charlotte, NC

Administrative and Support Services

About the position

Eclaro is seeking a Senior Data Engineer - Data Analytics for our client, a leading financial institution based in Charlotte, NC. This role is pivotal in driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. The Senior Data Engineer will be responsible for directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in both operational and analytical data systems. This position requires collaboration with the Project Management team to define outcomes and inform work structures, ensuring that the data engineering processes align with the organization's goals. The Senior Data Engineer will provide technical thought leadership by implementing complex data solutions and facilitating interactions across multiple systems and domains. The Corporate Audit and Credit Review (CACR) analytics & automation team is focused on delivering data-driven, risk-based insights and automation solutions to the CACR organization. The role involves developing and implementing a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design. Additionally, the position may encompass advanced analytics tasks such as statistical analysis, text mining, natural language processing (NLP), and machine learning/AI modeling. This role demands strong interaction with experienced audit and credit professionals, data experts, and technology teams. Intellectual curiosity and critical thinking are essential to produce optimal solutions. The Senior Data Engineer must possess strong time management, coordination, communication, and presentation skills to effectively manage multiple projects and ensure timely delivery of high-quality work.

Responsibilities

• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring consistent design and engineering across multiple systems.
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, building complex processes that support data transformation, data structures, metadata, data quality controls, dependency, and workload management.
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement.
• Defines and builds data pipelines to enable data-informed decision-making, ensuring adherence to release processes and risk management routines.
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes.
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events, and defines key performance indicators and internal controls.
• Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.).
• Supports the design and execution of new analytics, automated testing tools, and models.
• Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work.
• Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.
• Exercises judgment, critical thinking, and sound communication skills to influence business partners.
• Coaches and trains junior team members in the execution of analytics and automation activities.

Requirements

• Analytical Thinking
• Application Development
• Data Management
• Risk Management
• Solution Design
• Agile Practices
• Architecture
• Collaboration
• Decision Making
• DevOps Practices
• Business Acumen
• Data Quality Management
• Financial Management
• Solution Delivery Process
• Test Engineering
• Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools.
• Advanced skills in Microsoft Excel.
• Advanced analytic skills that demonstrate the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies and trends, and understand drivers of changes within data.
• Strong track record of implementing automated solutions related to data & analytics, including the ability to extract, organize, and present the data in user-friendly reports, dashboards or tools.
• Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision.
• Strong written and oral communication skills, with ability to communicate with both technical and executive audience.

Nice-to-haves

• Experience with one or more of the following a plus: Model Development, Machine Learning / Artificial Intelligence, and Data Science.
• Experience with one or more of the following a plus: DataRobot, Instabase, and UiPath.