Senior Cloud Data Engineer (Remote)

Stack

Responsibilities

• ▹Streaming & batch pipelines: Kinesis-based event ingestion, Flink processing, EMR batch reprocessing/replay, and Airflow-orchestrated ETL for customer reports
• ▹Data reliability & quality: deduplication, schema validation, data completeness checks, and root-cause investigation of data quality issues in customer-facing reports
• ▹Data observability: building Grafana dashboards with recency/frequency KPIs across alerts, trips, ingestion and reporting
• ▹Data lifecycle & compliance: manifest-driven data retention enforcement across heterogeneous stores (RDS, DynamoDB, S3, OpenSearch), per-organization retention policies, and audit trails
• ▹Performance & cost engineering: RDS reader/writer routing, query optimization, OpenSearch shard/index tuning, and AWS cost optimization across Lambda, DynamoDB and S3

Requirements

• ▹5+ years in data engineering or backend engineering with a heavy data focus
• ▹Strong Python skills; production experience with AWS Lambda and serverless patterns
• ▹Deep SQL and relational database skills (PostgreSQL/MySQL) — query optimization, partitioning, locking behavior
• ▹Hands-on experience with several of: Kinesis (or Kafka), Airflow, Flink, EMR/Spark, DynamoDB, OpenSearch/Elasticsearch
• ▹Experience debugging data quality issues in production and building validation/monitoring to prevent recurrence

About the company

CameraMatics is on a mission to transform fleet operations using camera technology, AI, machine learning and telematics to make roads safer and businesses smarter. It's an award-winning SaaS company in a high-growth phase, expanding into new markets worldwide.