Data Engineer
Core
Design, build, and maintain scalable data pipelines (batch and real-time) and infrastructure for an IoT-enabled safety ecosystem, ensuring accurate and timely data delivery.
Role type
Senior Data Engineer (Cloud/Infrastructure)
Builds
Scalable data pipelines, data lake/lakehouse environments, and data feeds for safety analytics and model training.
Domain
IoT safety technology, Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Event-driven architecture, Infrastructure as Code (IaC), ETL/ELT orchestration, AWS data services, SQL, Python, Java, Scala, Monitoring and alerting
Preferred skills
Big data technologies (Spark, Flink), BI tools, AI/ML services integration, Data science collaboration
Technologies
Apache Kafka, Amazon MSK, Terraform, GitHub Actions, CloudWatch, Datadog, PagerDuty, AWS Glue Studio, Matillion, AWS Step Functions, Redshift, EMR, S3, Lambda, Kinesis, BigQuery, Snowflake, Amazon Bedrock, SageMaker
Responsibilities
Design and maintain scalable data pipelines; Partner with product and engineering teams; Support ETL/ELT processes and data lakehouse environments; Ensure data quality and observability; Participate in architectural discussions and data platform strategy.
Seniority
Mid-Senior, hands-on IC
