Twilio is hiring a
Data Engineer, Remote - Ireland
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Data Engineer closed
🏢 Twilio
💵 ~$41k-$45k
📍Ireland
Summary
Join Twilio as a Staff Data Engineer on the Messaging Data Platform team, based remotely in Ireland. Build and maintain scalable data pipelines for messaging stacks and internal engineering solutions. Requirements include 5+ years of experience with Big Data processing tools, familiarity with ETL tools, cloud services, and Lakehouse technologies.
Requirements
- 5+ years of experience with Big Data processing tools and frameworks such as Apache Spark, PySpark, SparkSQL
- Deep technical understanding of ETL tools, low-latency data stores, multiple data warehouses and data catalogs
- Familiarity with data testing and verification tooling and best practices
- Experience with cloud services (AWS preferred, Google, Azure etc.)
- Proficient in working with Key-Value, Streaming, and Search Database technologies, including AWS DynamoDB, Apache Kafka, and ElasticSearch
- Experience with Lakehouse technologies, such as Apache Hudi, Apache Iceberg, Databricks Delta Lake
- Experience in building AI/ML pipelines
- Readiness to participate in the on-call rotation
Responsibilities
- Oversee the design, construction, testing, and maintenance of advanced, scalable data architectures and pipelines
- Drive the development of innovative data solutions that meet complex business requirements
- Create and enforce best practices for data architecture, ensuring scalability, reliability, and performance
- Provide architectural guidance and mentorship to junior engineers
- Tackle the most challenging technical issues and provide advanced troubleshooting support
- Collaborate with senior leadership to align data engineering strategies with organizational goals
- Participate in long-term planning for data infrastructure and analytics initiatives
- Lead cross-functional projects, ensuring timely delivery and alignment with business objectives
- Coordinate with product managers, analysts, and other stakeholders to define project requirements and scope
- Continuously monitor and enhance the performance of data systems and pipelines
Preferred Qualifications
- Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations
- Experience with high-level programming languages, like Java, Python, Scala
- Exposure to service-oriented architectures, microservices and REST APIs
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Benefits
- Competitive pay
- Generous time-off
- Amy parental and wellness leave
- Healthcare
- Retirement savings program
This job is filled or no longer available
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