Job Summary

Lead the design and development of ETL pipelines and processes

Design and implement Data Lakehouse solutions to prepare for business analytics, machine learning, and reporting

Collaborate with a team of data science and analytics professionals to understand how best to prepare data for further use

Plan, build, and optimize enhancements to existing data architecture and infrastructure

Improve data quality and integrity through pressure testing and validation

Spearhead the development and unification of multiple systems in a microservice centric architecture

University Degree in Computer Science, Data Science, Mathematics or a related field and 6+ years of applicable experience

Certification in one or more data management technologies or methodologies

Expertise with both SQL and noSQL database solutions

Experience working with both structured and unstructured data

Proficiency with programming languages such as Python or Ruby

Understanding of data warehousing concepts and tools in AWS or Azure

Understanding of a data lakehouse architecture, design, and implementation

Strong problem solving skills and a passion for high quality data management

4+ yrs of SQL experience

6+ years of programming experience using either Ruby, Python, or another scripting language

Experience working within expansive AWS systems involving multiple groups of microservices

Experience designing and implementing complex data models and hierarchies

Masters Degree in Computer Science, Data Science, Mathematics or a related field and 4+ years of applicable experience

Experience unifying systems with similar but distinct approaches to data management

Prior experience adopting newly acquired data products with related data into an existing data model

Certification in cloud computing and data management technologies in AWS (Sagemaker, Lambda, RDS, Redshift)

Prior history working under Agile software development methods and tooling, such as Jira ticketing, Kanban process, etc.

Proficiency with data visualization or business intelligence tools (DOMO, Tableau, PowerBI)

Experience working with version control systems such as GIT

Data Engineer