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About g2o
At g2o, we're passionate about helping clients build strong relationships with their customers. Our team of experts collaborates with clients to deliver technology expertise, human-centered design, and industry experience that drives real business results.
Job Summary
We're seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you'll work closely with technical team members to design, develop, and deploy data engineering jobs and pipelines using Spark and Python.
Key Responsibilities
- Design and develop data engineering jobs with a focus on quality attributes such as simplicity, reliability, scalability, extensibility, and performance.
- Work with leads and architects to prototype designs and technologies.
- Collaborate with technical team members to develop, deploy, and production support data engineering jobs and pipelines.
- Set and adhere to coding and style guides to ensure consistency.
- Create and deploy streaming data quality checks with remediation runbooks.
- Provide recommendations for and help curate technical backlogs for technical debt management and continuous improvement.
Requirements
- 5+ years of experience working with data and data pipeline technologies at scale.
- 3+ years of solid Python development experience, including robust unit and integration testing and Git-driven CI/CD to production.
- 2+ years of proven experience developing streaming data processing tasks using pySpark and SparkSQL.
- Solid understanding of Spark, preferably Databricks Spark and Apache Delta.
- Experience with public cloud data and analytics services, with a preference for Azure.
- Nice to have: Super user experience with reporting tools such as PowerBI.
Education and Experience
- College/University Degree or equivalent.