Combining data, influencer strategy, & social insights for impactful and measurable brand storytelling.
SaaS • Social Media • Marketing • Influencer Marketing • Advertising
August 30
🏡 Remote – Anywhere in California
Combining data, influencer strategy, & social insights for impactful and measurable brand storytelling.
SaaS • Social Media • Marketing • Influencer Marketing • Advertising
• Design and implement end-to-end data pipelines to process, transform, and store data from various sources. • Utilize tools such as Snowflake, BigQuery, ClickHouse, or similar for data storage and management. • Employ ingestion tools like Airbyte, Fivetran, or Stitch to move data across systems efficiently. • Leverage transformation tools like dbt, Spark, or Dataform to prepare data for analysis and machine learning. • Integrate version control systems like GitHub or GitLab into the data engineering workflow. • Ensure that all data-related solutions are optimized for performance and cost-efficiency. • Stay updated with emerging technologies and trends in data engineering and suggest improvements to our tech stack.
• Proven experience building and maintaining data pipelines using those above or similar technologies. • Strong understanding of data storage, ETL processes, and data transformation techniques. • Experience with version control systems and best practices in software development. • Familiarity with reporting tools and the ability to translate data insights into actionable business strategies. • Excellent problem-solving skills and the ability to work independently and as part of a team. • Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
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