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High-Performance Data Platform Engineer

2 tygodni temu


Kraków, Lesser Poland Relativity Pełny etat

We prioritize flexibility and work-life harmony at Relativity, offering a hybrid work environment tailored to your role and location. This setup aims to enhance engagement, connectivity, and productivity.

Our culture is built on collaboration and innovation, where connecting in-person adds value to our collective growth. We foster an environment that enables massive scaling and data processing for ML and Gen AI projects.

You'll be at the forefront of processing vast unstructured data, building high-throughput APIs, and supporting distributed compute frameworks for seamless model deployment. Your expertise will play a crucial role in innovating the future of data platform architecture.

Your Key Responsibilities
  • Develop next-generation data platform tooling and services to handle billions of documents at scale.
  • Enhance and extend our Spark-based distributed data processing pipeline.
  • Improve and extend our Rust-based distributed query engine used for requesting large amounts of document data.
  • Create tools to automate and optimize processes across disciplines.
  • Participate in the on-call schedule to investigate and fix production issues related to our data processing pipeline or query engine.
  • Engage in code reviews for projects written by your team.
  • Maintain quality through comprehensive unit and integration testing.
Required Skills and Qualifications
  • 4+ years of software development experience in writing performant, commercial-grade systems and applications.
  • Experience with monitoring and troubleshooting production environments.
  • Proficiency in programming languages used in high-volume data processing and applications like Java or Scala and Python.
  • Experience building data pipelines with distributed compute frameworks like Hadoop, Spark, or Dask.
  • Knowledge of Linux/Unix systems, Docker/Kubernetes, and CI/CD, including scripting in Python or other scripting languages to automate build and deployment processes.
  • Knowledge of professional software engineering practices and software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Able to mentor and improve the productivity of the team.

We're looking for candidates with deep experience building and debugging distributed data pipelines. Experience with columnar databases and storage formats like Delta Lake and Parquet is highly valued. Additionally, deploying and managing services on Kubernetes and building with Rust are desired skills.

Benefits
  • Comprehensive health plan.
  • Flexible work arrangements.
  • Two week-long company breaks per year.
  • Unlimited time off.
  • Long-term incentive program.
  • Training investment program.