Data Engineering in the world of marketing analytics and insights
Responsibilities:
Expanding and optimizing our data and data pipeline architecture
Work across all functional leads creating and/or implementing methods to improve data reliability and quality as well as optimizing data flow and collection
Build tools to provide actionable insights into key business performance metrics to optimize our services and create value for our clients
Automating manual processes to support our current and future data initiatives
Assemble large, complex data sets that meet analytics and business requirements
Apply best practices that enable a quality product while keeping our data separated and secure
Requirments:
2+ years of work experience with data warehousing, data modeling and building ETL pipelines using Python/C#/.NET
2+ years of work experience working with cloud-based technologies such as: Azure, AWS, or Google Cloud Platform
1+ years of work experience writing SQL queries across large datasets such as clickstream data (terabytes)
1+ years of experience working with data visualization tools such as Power BI, Tableau, or Looker
On-the-job experience with version control systems (e.g., Git) and DevOps best practices
