Data Engineer Associate developing and implementing data solutions within PNC's Asset Management Group. Collaborating on technical solutions using PySpark, Hadoop, and SQL for scalable data systems.
About the role
- Software Engineer building and maintaining data processing technology for Spotify. Collaborating with teams to empower data engineers and support data processing needs across the company.
Responsibilities
- Build large-scale batch and real-time data processing tools on Google Cloud Platform, aiming to improve developer experience and standardize workflows with the goal to eventually move to a monorepo for data.
- Collaborate with product owners, engineers and other squads to build features and drive improvements in the data processing ecosystem.
- Expand the data processing product and technology offering for Spotify to meet the dynamic and ever changing needs of our customers.
- Enable the data practitioner community by improving and evolving our data engineering ecosystem at Spotify through support, best-practices and standards.
Requirements
- You have 2+ years of professional data engineering experience.
- You have strong coding skills in a modern programming language and a solid understanding of systems design, data structures and algorithms.
- You are passionate about developer experience and building products that help users efficiently solve their use cases
- You know how to work with high-volume, heterogeneous data, preferably with distributed systems in the cloud.
- You have experience with Python at least one JVM-based data processing framework such as Spark, Flink, Dataflow, Storm, etc.
- You employ sound engineering practices such as continuous delivery, defensive programming and automated testing and care about shipping high-quality code.
- You are comfortable with change and love working in an environment where you experiment, iterate quickly and take ownership of projects from ideation to production.
- Bachelor’s degree or higher in Computer Science or related fields is a plus.
Benefits
- Flexible work arrangements
- Opportunities for professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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