Data Engineer, Realtime Analytics & APIs
Remote - Sri Lanka
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.
At ASAPP, we are on a mission to build transformative machine learning-powered products that push the boundaries of artificial intelligence and customer experience. We focus on solving complex, data-rich problems — the kind where there are huge systemic inefficiencies and where a real solution will have a significant economic impact. Our CX performance platform uses machine learning across both voice and digital engagement channels to augment and automate human work, radically increasing productivity and improving the efficiency and effectiveness of customer experience teams.
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 Data Engineer to serve as a core contributor by designing and building real-time analytic processes and delivery systems for our customers.
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 Data Engineer to serve as a core contributor by designing and building real-time analytic processes and delivery systems for our customers.
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
* 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
Regions:
Remote/Anywhere
Asia/Pacific
Country:
Sri Lanka
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Categories:
Analyst Jobs
Engineering Jobs
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