Data Engineer

• Company Spotify
• No. of Openings 10+
• Salary Not Disclosed
• Work Type remote

Job Description :

We are looking for an expert engineer with a strong data/infra background to join the Growth Team. You will be the first data engineer directly embedded with this growth marketing org and drive the development and maintenance of datasets for user growth campaigns run by the Growth Team. You will work on crafting robust and scalable solutions for marketing campaign datasets, collaborating with data scientists, engineers, and marketing partners across the org and the company. You will play a meaningful role in the success of high impact and forecast critical user growth campaigns and be the founding member of a function that we have the ambition to staff up over time.

What you'll do

• Support marketing partners with data orchestration needs around campaign targeting and user segmentation, campaign performance analysis and insights, and experimentation
• Own and operate data pipelines generating a number of core datasets for the Growth Team and analytics counterparts
• Collaborate with various teams to craft a scalable data model that meets the needs of the business
• Work with innovative data processing frameworks, technologies, and platforms.
   

Who you are

• 3 - 5 years of work experience crafting and building highly scalable data pipelines preferably with exposure to Scala, Java or Python, and experience with source code management tools for version control like GitHub, Bitbucket etc.
• Proficient in SQL based databases, ideally with familiarity of cloud-based data warehousing solutions such as BigQuery
• You are familiar with distributed computing frameworks, such as Spark, Scio, Hadoop, Dataflow, Beam
• You understand database operations and can reason about them, including:
• Indexing and schemas
• Column store vs row store schemas
• Groups, joins, and aggregations
• Experience working multi-functionally with data engineers, data scientists, and marketing managers
• You are comfortable working in an environment where data ownership and maintenance is distributed across many teams
• You are able to operate optimally and autonomously across multiple teams in situations of ambiguity, with only high-level direction
• Bonus if you have worked on supporting an internal marketing organization
• Computer science knowledge is a plus