Data Engineer – Metrics, Logs & Analytics (Grafana, PromQL, SQL)

Company Description Codem Inc. is a leader in scalable, AI-driven eCommerce solutions designed to transform businesses and reduce software engineering and operational costs. With a proven track record of building a $3.5B eCommerce business and launching platforms in over 50 countries, Codem delivers customized, efficient, and cost-effective services. By leveraging expertise in cutting-edge technologies like AI, machine learning, and cloud-based systems, Codem empowers clients to tackle complex digital challenges and scale efficiently. With dedicated teams located in the US, Singapore, and India, the company provides turnkey eCommerce solutions, capability assessments, and innovative AI applications to foster growth and decision-making. Codem operates globally from its offices in San Francisco, Singapore, and Chennai.

Role Overview

We are looking for a

Data Engineer focused on metrics, logs, and analytics

to build dashboards, perform data analysis, and generate actionable insights from observability datasets.

This role is

not infrastructure or DevOps-focused . Instead, it requires strong capability in: querying and analyzing

time-series, log, and trace data building

Grafana dashboards and reports developing

custom reporting pipelines using Python or Node.js

Key Responsibilities

Dashboard & Data Visualization

Build and maintain

Grafana dashboards

using: Prometheus / VictoriaMetrics (time-series data) VictoriaLogs (LogQL-based log analysis) Jaeger (trace data) ClickHouse / PostgreSQL (structured datasets) Design dashboards that provide

clear business and operational insights , not just raw metrics Querying & Data Analysis

Write and optimize queries using: PromQL

(metrics) LogQL

(logs) SQL

(ClickHouse / PostgreSQL) Analyze data to: identify trends and anomalies correlate logs, metrics, and traces derive meaningful KPIs Reporting & Insights

Develop

daily / weekly / monthly KPI reports Build

custom reporting solutions

using: Python TypeScript / Node.js Automate report generation and distribution Translate technical data into

business-relevant insights Alerting & Anomaly Detection

Configure

Grafana alerting

based on: dashboard panels thresholds anomaly patterns Improve alert quality by reducing noise and false positives Implement

basic anomaly detection logic

using query-based approaches Data Integration & Processing

Work with multiple data sources including: time-series data logs trace data structured databases Combine and normalize data across sources for unified analysis

Required Skills

Core Skills

Strong experience in

data engineering / data analysis Strong

SQL skills Strong experience with

Grafana dashboards Query Languages

Hands-on experience with: PromQL LogQL SQL (ClickHouse / PostgreSQL) Programming

Strong experience with: Python

OR TypeScript / Node.js Experience building: data pipelines reporting scripts analytics workflows Data Concepts

Understanding of: time-series data log data structures trace correlation KPI and metrics design Nice to Have

Experience with: VictoriaMetrics / VictoriaLogs Jaeger tracing data Experience working with: high-volume observability datasets Basic understanding of: anomaly detection techniques performance metrics interpretation Candidate Profile

The ideal candidate is: Data-focused , not infrastructure-focused Strong in

querying and analysis , not just setup Able to convert raw data into

clear insights and reports Comfortable working across

metrics, logs, and structured data Practical and results-driven in

reporting and analytics use cases Deliverables / Success Criteria

High-quality Grafana dashboards with actionable insights Reliable KPI reports (daily/weekly/monthly) Accurate and efficient queries across data sources Reduced alert noise and improved signal quality Clear, business-aligned data outputs