Senior Data Engineer

Job Summary:

This position will work with cutting edge technology, deliver high quality solutions across various industries, and oversee team(s) on engagements that range in size and scope. This position will receive continuous career development opportunities, given the size and potential of client engagements. This role will perform hands-on delivery of data analytics projects, contributing to the development and unit testing of solutions. 

Job Duties:

• Designs and implements best in class data ingestion strategies, data warehouse and data mart structures, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
• Listens to client needs to align solution with business requirements and delivery schedule
• Creates written functional and technical designs
• Participates in project status and stand meetings, and assists with providing aggregated project status for project and program managers
• Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end-to-end solutions
• Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles
• Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
• Assists with implementation of data governance programs and best practices
• Performs the cleaning and transforming of data from source systems into analytics models
• Implements models to support data visualizations and integrations
• Assists with implementing DevOps, DataOps and MLOps methodologies on projects
• Writes custom integration logic in applicable programming languages
• Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle
• Assists clients with licensing, security, and cost estimation of solutions
• Performs code reviews to ensure adherence to standards
• Works directly with clients and team members to establish secure data analytics platforms and infrastructure 
• Contributes to successful deployments of developed solutions and integration of DevOps tools
• Maintains a broad and current understanding of data analytics and business intelligence strategies, cloud platforms, methodologies, and tools
• Builds client relationships during project execution, effectively becoming a trusted advisor of the client
• Participates in support activities for existing software solutions
• Other duties as assigned

Supervisory Responsibilities:

• Supervises the day-to-day workload of Associates on assigned engagements to ensure that timelines and deliverables are met, and reviews work product

Qualifications, Knowledge, Skills and Abilities:

Education:

• High School Diploma or GED equivalent, required
• Bachelor’s degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred

Experience:

• Five (5) or more years of experience within Data Analytics, Business Intelligence, Artificial Intelligence, or Application Development, required
• One (1) or more years of experience technically leading development projects, preferred
• One (1) or more years of consulting experience or implementation of cloud-based data analytics solutions, preferred

Software:

• Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required
• Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, required
• Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, preferred
• Experience with one (1) or more of the following computer languages, preferred:
  • C#
  • Python