YOUR IMPACT:

The main purpose of this role is to deliver end-to-end data solutions for simple to medium complex business problems. This role includes translating business needs to technical requirements and helps in designing the architecture and facilitating the implementation and maintenance of those solutions. This role serves as a technical expert to develop the right solution, including participating in the evaluation of the best fit platform/technology stack, and ensure correct implementation, following best practices and accounting for both functional and non-functional requirements, like reliability, scalability, performance, stability, security, and long-term maintainability.

REQUIRED QUALIFICATIONS:

• 5 years of experience in data, business intelligence or platform engineering, data warehousing/ETL, or software engineering
• 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
• 3 years of experience in object-oriented programming/structure programming, SQL, and scripting
• 3 years of experience in big data technology
• 3 years of experience in cloud-based big data technologies
• Bachelor’s degree in engineering, computer science, computer information systems (CIS), or related field (or equivalent work experience in lieu of degree)

PREFERRED QUALIFICATIONS:

• Master’s degree in computer science, CIS, or related field

• Resolves simple to medium complex problems spanning across multiple applications to deliver value; participates in planning and estimation and advises other junior engineers; executes with limited guidance.
• Helps evaluate and facilitate decisions on build versus buy as well as best fit platform suitable for the business problem.
• Leads development of integrated business and/or enterprise application solutions to ensure specifications are flexible, scalable, and maintainable and meet architectural standards.
• Uses current architectural standards and guidelines to drive efficiency when working on the design efforts of complex business and enterprise data or platform solutions.
• Ensures good unit testing coverage accounting for all boundary conditions and comes up with the system integration test plan and testing framework for data engineers to leverage and implement both unit testing and functional testing and support user acceptance testing.
• Works within the domain to define and design a data solution to meet business needs and product objectives and key results, service level agreements, data quality, and observability.
• Works with the data governance team to establish retention, privacy, and security guidelines for different datasets.
• Works with the data science team to understand mathematical models and algorithms; educates and influences data scientists on how data engineering can help scale and deploy models.
• Analyzes and organizes data to evaluate the usefulness and relevance of data required for insights requested by the business.
• Designs and leads the development, maintenance, and enhancements of operational, analytical (including self-serve) applications across various business domains; helps create frameworks and reusable components.
• Participates in infrastructure-related projects from idea generation through implementation including needs analysis, cost-benefit analysis, selection, implementation, knowledge transfer, and support.
• Analyzes and helps propose design alternatives and facilitates appropriate design decisions; assesses risk, cost, schedule, and resource tradeoffs; understands networking, like subnetting, routing, virtual private cloud/virtual network, security groups, and load balancing.