Big Data Solutions Architect

Key Responsibilities

As a Data Engineer, you will be responsible for designing, building, and launching collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. You will collaborate with cross-functional teams to identify data opportunities to drive impact and solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

• Design and develop data models and visualizations that meet business requirements.
• Collaborate with engineers, product managers, and data scientists to understand data needs and represent key data insights visually in a meaningful way.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Manage and communicate data warehouse plans to internal clients.

The ideal candidate should have a Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, or a related field. Key skills include features, design, and use-case scenarios across a big data ecosystem, custom ETL design, implementation, and maintenance, object-oriented programming languages, schema design and dimensional data modeling, writing SQL statements, analyzing data to identify deliverables, gaps, and inconsistencies, and MapReduce or MPP system.