Senior Data Engineer - Glasshouse
Employment Type: Full-Time
We are part of the Finance business unit and strive to build and maintain strong engineering and data solutions for users that require golden sets of financial information. We are currently ideating on the products, infrastructure, data modeling, prioritization of workstreams, etc. that will have significant relevance on the future path of the Finance organization as a whole. This is a very exciting time to join the team and make truly lasting impacts on Spotify.
What you'll do Closely work with product managers and business stakeholders to come up with innovative ideas and solutions on improving the processes. Define data models that tie together disparate data across the entire organization. Design and implement large scale centralized data warehousing infrastructure for the Finance organization. Design, implement and maintain ETL pipelines. Create data transformation logics to convert raw data to fit the new data models that make sense for the users. Continuously design, develop and test data driven solutions. Gain technical expertise in building a data platform at scale to solve business, product and technical use cases Obtain hands-on experience with Google Cloud Platform and technology/languages such as BigQuery, Scala, Scio and DockerWork hand-in-hand with the data science community to understand various insights that affect our users Gain cross departmental exposure and flexibility to engage with many teams in the company in different countries in the world. Communicate insights and recommendations to key stakeholders, engineering and product partners
Who you are Degree in Computer Science or similar fields. 4+ years of professional software engineering and programming experience (Java, C++, Scala) 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization) Professional experience working in an agile environment Strong analytical and problem solving ability Strong written and verbal communication skills Experience with data warehouses such as Redshift, Snowflake, BigQuery or SynapseExperience in creating ETL pipelines Strong ability in SQL Experience in operating and maintaining production grade software Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
Preferred Skills Deep knowledge of software engineering best practices Experience in mentoring and leading junior engineers Experience in serving as the technical lead for complex software development projects Experience with large scale distributed data technologies and tools Familiarity with functional programming paradigmFamiliarity with technologies and techniques used by BigQuery and Snowflake. Strong coding skills for analytics and data engineering (Scala, Java and Python) Experience performing analysis with large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform T-Shaped. Your primary area is data engineering but you are comfortable working in a second area such as data presentation, backend engineering or front-end development Experience working in a large scale, global consumer product company, in an engineering or insights role Understands how to translate business requirements to technical architectures and designs Comfortable communicating with stakeholders (customers, product managers, C-level management)
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 271 million users.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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