Staff Data Engineer, Realtime Analytics & APIs
Remote - Uruguay
Applications have closed
ASAPP
Elevate human performance using the power of AI. Achieve breakthrough results in customer experience by empowering your agents with integrated automation.The data engineering team at ASAPP powers the core of our data and analytics products. ASAPP's products are based on natural language processing and serve tens of millions of end-users in real-time. We need sophisticated metrics to monitor and continuously improve our systems.
We are seeking a Staff Software Engineer to serve as a core contributor by designing and building real-time analytic processes and delivery systems for our customers.
As our operations keep growing, we encourage applicants from all locations in Uruguay to apply.
What you'll do
- Contribute to our joint effort of real-time analytics development and external-facing API design, including managing project deliverables and delegating work to other engineers
- Design, document, and deliver customer API specifications
- Build real-time streaming pipelines to construct and distribute analytics using Apache Flink
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Maintain high-quality documentation for our real-time metrics and API specifications
- Contribute to our data infrastructure platform and tooling
- Participate in our on-call rotation to keep production pipelines up and running
What you'll need
- Expertise building software in a high-level programming language, ideally Java or Go
- Experience designing, implementing, and documenting APIs, webhooks, and callbacks
- Experience building software around a message bus such as Kafka or RabbitMQ
- Familiarity with real-time streaming engines such as Apache Spark or Flink
- Deep technical knowledge of data exchange and serialization formats such as Protobuf, Parquet, YAML, and JSON
What we'd like to see
- B.S.+ in computer science or software engineering, or equivalent hands-on experience
- Previous experience in a data engineering or data warehousing
- Experience with complex event processing, distributed systems, and stream processing
Benefits
- Competitive compensation
- Stock options
- Blue Cross 350 Corp for the family group
- Wellness perks
- Learning & development stipend
- Mac equipment
- English lessons
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Computer Science CX Data Warehousing Distributed Systems Engineering Flink JSON Kafka Machine Learning NLP Parquet Pipelines Spark Streaming
Perks/benefits: Career development Competitive pay Equity Wellness
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