Description

  • 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 strategy for long term data platform architecture.

 

QUALIFICATIONS

  • 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
  • Advanced English written and spoken
  • Familiarity with Azure Data Services, including Azure Data Factory, Azure Storage, 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

Key Skills
Education

Bachelor's Degree

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