Senior Database Engineer at Verizon responsible for SQL Server management and NoSQL migration. Involves production support, troubleshooting, and collaborating with application teams.
About the role
- Senior Backend Engineer developing scalable infrastructure services and tools for Spotify’s Data Platform team. Collaborating in a cross-functional team to solve critical data engineering problems.
Responsibilities
- You’ll collaborate with product and engineering to build and support the infrastructure that empowers Spotify teams to process data to solve critical business needs.
- Increase developer productivity by building innovative tools that reduce overhead of working with data pipelines, help increase platform reliability, and are cost-efficient.
- Work with engineers with deep expertise in data and collaborate closely with squads in Spotify to drive improvements in the data processing ecosystem through support, best-practices and standards.
- Help the platform orchestrate data jobs in a seamless way, for the users not having to worry about what is happening “under the hood”
Requirements
- You are proficient in backend development using Java.
- You are comfortable working with big data using SQL and data analytics platforms such as BigQuery.
- You have experience with one or more higher-level JVM-based data processing frameworks such as Flink, Beam, Dataflow, Spark, etc.
- Devops is part of your day-to-day work and you are used to working with cloud-based infrastructure and services, containerised applications.
- You have some experience working with Kubernetes and are familiar with its basic concepts.
- You have experience of working with data engineering pipelines in Scala and/or Python.
- Quality is important to you and you know what it means to ship high-quality code.
- You appreciate agile software processes, and sound engineering practices like continuous delivery, defensive programming, and automated testing.
- You love working in an environment where you constantly experiment and iterate quickly. You are comfortable with ambiguity, enjoy working on open ended problems, and believe data is the most powerful tool for informed decision-making.
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