Senior Data Engineer
New
J
JamppMobile Advertising
Argentina - RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSDockerPythonSQLKubernetesAWS LambdaPySpark
Requirements
- 5+ years of programming experience in Python with a track record of building production-grade distributed systems.
- Proven experience architecting and scaling distributed data processing systems.
- Deep hands-on experience with the AWS Big Data stack (Kinesis, EMR, Lambda, etc.) in high-throughput environments.
- Strong experience managing and operating TrinoDB/PrestoDB clusters in production.
- Production experience with Docker, Kubernetes, and PySpark.
- Rock-solid knowledge of databases and SQL, including performance tuning at scale.
- A track record of mentoring and coaching engineers.
- Ability to operate with significant ownership and ambiguity to make sound architectural calls.
- Go (programming language) experience is a plus.
- Databricks experience is a strong plus.
- Engagement with the open source community is a strong extra.
Responsibilities
- Own the architecture and technical roadmap for key pieces of Jampp's data infrastructure.
- Design and implement ETL processes with a focus on scalability, incrementality, and maintainability.
- Partner with Data Scientists and engineers to design scalable data models and pipelines supporting real-time ML infrastructure.
- Drive data consistency and reliability standards across systems and machine learning inputs.
- Identify and resolve systemic bottlenecks through benchmarking and architectural solutions.
- Build and evolve internal tools and frameworks for data access and transformations.
- Mentor and coach mid-level and junior engineers as a technical reference point.
- Contribute to technical decision-making around tooling and infrastructure choices.
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