Senior Cloud Data Engineer

Senior Cloud Data Engineer

Position Summary

We are seeking a Senior Cloud Data Engineer to build the analytics layer of BTC Power Fleet Analytics — the AWS platform that turns OCPP telemetry from our DC fast charger fleet into fault detection, fleet trend analysis, predictive maintenance, and customer-facing dashboards.

The ideal candidate combines data engineering with analytics judgment. They can build a reliable pipeline, but they also care whether the number at the end of it is the right number — and they can put it in front of a customer in a form that makes sense without a data engineer standing next to it.

Key Responsibilities

• Build and operate the streaming and batch pipelines that consume charger event topics and land them in the analytics lakehouse
• Design and maintain the analytical data model — the tables, partitions, and semantics that every dashboard, report, and API reads from
• Build fleet trend and reliability analysis: failure rates by component and firmware version, utilization and seasonality trends, degradation curves, and cohort comparisons across sites and hardware revisions
• Build and maintain the Fleet Analytics dashboards — charger status, historical trends, alert and ticket views — with per-fleet isolation so each customer sees only their own chargers
• Translate charger fault and event semantics into analytics: severity-based routing, paired open and clear events for fault duration, and component-level attribution of failures
• Build data quality, freshness, and lineage checks so a broken pipeline is caught before a customer sees a wrong number on a dashboard
• Implement infrastructure as code and CI/CD for the analytics stack, with no manual production console changes
• Partner with firmware and systems engineers on what the fleet reports and how often, since telemetry design decisions drive both analytical quality and platform cost
• Participate in design and code reviews, maintain documentation for data models and metric definitions, and mentor junior engineers on the Cebu team

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, IT, Statistics, or a related field
• 6+ years in data engineering, analytics engineering, or backend software engineering, with at least 3 years building production analytics pipelines on a major cloud platform
• Strong SQL (analytical functions, performance tuning of large aggregates) and strong Python for transformation, orchestration, and analysis
• Hands-on production experience with AWS data services — some combination of Kinesis or Kafka consumers, Lambda, S3, Glue, Athena, DynamoDB, and Redshift
• Experience building dashboards or reporting that non-technical users actually rely on, in a BI tool or a custom application
• Infrastructure as code (Terraform or AWS CDK), Git, and CI/CD for data workloads
• Clear written and spoken English and the ability to work effectively with a distributed team across time zones

Preferred Qualifications

• EV charging, IoT, telemetry, or other high-volume device data; familiarity with OCPP 1.6J / 2.0.1
• dbt or equivalent transformation tooling, including tests and documentation as part of the pipeline
• Apache Iceberg or another open table format in production
• QuickSight / Amazon Quick Suite, or embedded analytics in a customer-facing product
• Multi-tenant data isolation, row-level security, and usage metering for billable APIs

Key Skills / Competencies

• Strong technical ownership of the analytics layer end to end, with the judgment to ask whether the number is right and not only whether the pipeline ran
• Ability to translate operational domain semantics into defensible metrics
• Attention to data quality, reliability, and cost; collaborates well with firmware, systems, and product
• Clear communication of analytical findings to non-technical audiences, and the ability to mentor and support other team members