Perficient is a leading global digital consultancy and has a presence around the globe transforming and connecting the most prominent brands with their customers. Perficient, we seek to grow alongside professionals promoting agile cultures and values as we challenge, champion, and celebrate our people for us to build a great future together.
Job summary
the lead data engineer will be responsible of designing, developing, and maintaining data pipelines and solutions to enable our client to harness the power of the data for further analytics. The engineer will work with modern data technologies, with a strong emphasis on snowflake and dbt (data build tool) to automate, build, test and maintain the data infrastructure. Additionally, it is the expectation that people participate actively in all aspects of the data lifecycle and provides recommendations aligning to best practices within the process.
What do you need to come abord?
Bs in computer science, engineering or related technical field or equivalent practical experience.
Passionate data engineer with 6-10 years of experience, with a focus on designing and implementing data pipelines
strong expertise in snowflake, including data modeling, etl, and data warehousing
proficiency in dbt (data build tool) for data transformation and management
solid sql skills and understanding of database systems
experience with data integration, data processing, and data quality
experience with object storage, data lakes, and lakehouses
experience with version control tools such as git
team oriented, interpersonal, highly motivated, passionate and creative team-player with ability to develop and maintain collaborative relationships with all levels within and external to the organization
advance english written and spoken
familiarity with azure data services, including azure data factory, azure