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OP Labs
$103k - $117k estimated
This job is closed
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