Eclaro
Senior Data Engineer - Data Analytics
Eclaro, Charlotte, North Carolina, United States, 28245
Job Number: 24-01999Grab the opportunity to achieve your full potential! Eclaro is looking for a
Senior Data Engineer - Data Analytics
for our client in
Charlotte, NC.Eclaro’s client is one of the world's largest financial institutions, committed to providing the tools and services that bridge the gap between customers and their goals. If you’re up to the challenge, then take a chance at this rewarding opportunity!Position Overview:
This job is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions.Key responsibilities include directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures.Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization.The Senior Data Engineer role will be responsible for developing and implementing a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling / machine learning / AI.This role demands interaction with highly experienced audit and / or credit professionals, data experts, and technology.Intellectual curiosity will drive critical thinking to produce optimal solutions.Strong time management, coordination, communication, and presentation skills are a must in this role.Responsibilities:
Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.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, 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 / trains junior team members in execution of analytics and automation activities.Managerial Responsibilities:This position may also have responsibilities for managing associates.At Client, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.Diversity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&I goals.Manager of Process & Data: Demonstrates deep process knowledge, operational excellence, and innovation through a focus on simplicity, data-based decision-making, and continuous improvement.Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities, and contributions.Risk Manager: Ensures proper risk discipline, controls, and culture are in place to identify, escalate, and debate issues.People Manager & Coach: Provides inspection, coaching, and feedback to motivate, differentiate, and improve performance.Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting, and appropriately delegating teamwork.Required Skills:
Analytical ThinkingApplication DevelopmentData ManagementRisk ManagementSolution DesignAgile PracticesArchitectureCollaborationDecision MakingDevOps PracticesBusiness AcumenData Quality ManagementFinancial ManagementSolution Delivery ProcessTest EngineeringIntermediate 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.Preferred Experience:
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.If interested, you may contact:Dean BaculiDean.Baculi@eclaro.com332-206-3184Dean Baculi | LinkedInEqual Opportunity Employer:
Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
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Senior Data Engineer - Data Analytics
for our client in
Charlotte, NC.Eclaro’s client is one of the world's largest financial institutions, committed to providing the tools and services that bridge the gap between customers and their goals. If you’re up to the challenge, then take a chance at this rewarding opportunity!Position Overview:
This job is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions.Key responsibilities include directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures.Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization.The Senior Data Engineer role will be responsible for developing and implementing a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling / machine learning / AI.This role demands interaction with highly experienced audit and / or credit professionals, data experts, and technology.Intellectual curiosity will drive critical thinking to produce optimal solutions.Strong time management, coordination, communication, and presentation skills are a must in this role.Responsibilities:
Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.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, 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 / trains junior team members in execution of analytics and automation activities.Managerial Responsibilities:This position may also have responsibilities for managing associates.At Client, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.Diversity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&I goals.Manager of Process & Data: Demonstrates deep process knowledge, operational excellence, and innovation through a focus on simplicity, data-based decision-making, and continuous improvement.Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities, and contributions.Risk Manager: Ensures proper risk discipline, controls, and culture are in place to identify, escalate, and debate issues.People Manager & Coach: Provides inspection, coaching, and feedback to motivate, differentiate, and improve performance.Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting, and appropriately delegating teamwork.Required Skills:
Analytical ThinkingApplication DevelopmentData ManagementRisk ManagementSolution DesignAgile PracticesArchitectureCollaborationDecision MakingDevOps PracticesBusiness AcumenData Quality ManagementFinancial ManagementSolution Delivery ProcessTest EngineeringIntermediate 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.Preferred Experience:
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.If interested, you may contact:Dean BaculiDean.Baculi@eclaro.com332-206-3184Dean Baculi | LinkedInEqual Opportunity Employer:
Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
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