Snowflake Data Engineer

Responsibilities
Lead the technical planning & requirements gathering phases, including estimating, developing, testing, managing projects, architecting, and delivering.
Serve as a technical lead and mentor.  Provide technical support or leadership in the development and continual improvement of service.
Develop and maintain effective working relationships with team members.
Demonstrate the ability to adapt and work with team members of various experience levels.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Designs data integrations and data quality framework.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
 

Qualifications
BS in Computer Science, Engineering, or related technical field.
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 the ability to develop and maintain collaborative relationships with all levels within and external to the organization
Familiarity with Azure Data Services, including Azure Data Factory, Azure Storage, and Azure Synapse, is a plus
Familiarity with Databricks is a plus
Knowledge of data processing technologies like Apache Spark and Kafka is a plus
Cloud platform certifications are a plus
Client-facing or consulting experience is highly preferred.
Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.