Senior Data Engineer
Job Summary
Owning a key data domain within Digital Marketing Operations, the full-time Senior Data Engineer will architect and implement data pipelines, collaborate on cross-functional initiatives, and ensure data governance and compliance while working remotely.
Key responsibilities:
- Shape the architecture and interfaces of data domains, anticipating needs related to scale, reliability, and privacy compliance
- Lead complex initiatives, translating requirements into data architectures and driving safe integrations into production
- Build and evolve data quality frameworks and engineering standards to enhance pipeline reliability and efficiency
Required qualifications:
- 8+ years of relevant industry experience with a Bachelor's degree and a Master's degree in Computer Science, Engineering, or a related field
- Proficiency in Python and modern programming languages like Java or Golang, with strong SQL fundamentals
- Deep experience with distributed data processing frameworks such as Apache Spark and cloud-managed ETL services
- Strong experience with cloud data platform services and the ability to architect large-scale data workflows
- Experience with data lake architectures and strong SQL and NoSQL skills, including data modeling proficiency
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