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Senior Data Engineer

OP Labs

Estimated Salary: $105K-$175K
Location: Remote

What are the role responsibilities?

  • Collaborating with business teams to design systems architecture:
    • Design and implement robust, scalable, and optimized data architectures.
    • Lead the development and maintenance of scalable data pipelines and build out new integrations to support continuing increases in data volume and complexity.
  • Pipeline ownership:
    • Develop integrations with third party systems to source, qualify and ingest various datasets.
    • Develop data set processes for data modeling and production.
    • Recommend and implement ways to improve data reliability, efficiency, and quality.
  • Data strategy and execution:
    • Work with stakeholders including the Marketing, Product, Analytics, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • BI and data tool enablement:
    • Enable data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions
  • Innovation and improvement:
    • Keep up-to-date with the latest industry trends in data engineering.
    • Explore new technologies and approaches for continuous improvement of data systems.
  • Collaboration and communication:
    • Work closely with analytics and business teams to define and refine data requirements for various data and analytics initiatives.
    • Ensure clear communication of project progress and results to stakeholders.
    • Collaborate with data engineers across the wider OP stack and ecosystem to enable open source and publicly available datasets.

What skills do you bring?

  • 4+ years of professional data engineering experience
  • Advanced working knowledge of SQL, Python, and experience with relational databases
  • Experience in building and optimizing 'big data' data pipelines, architectures, and data sets
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with workflow orchestration management such as Airflow, dbt etc.
  • Experience with Cloud Services such as Google Cloud Services, AWS, etc. 
  • Strong analytic skills related to working with unstructured datasets, we are looking for an engineer who can understand the business and how to build to requirements
  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment
  • Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up
  • Experience with web3 and blockchain protocols is a plus
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