Live · posted 6 days agoFull-time

Data Analyst

African Arete

Johannesburg, Gauteng

Salary not listed

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Data analyst roles across banking, retail and telecoms. Most ask for SQL and Excel as a baseline, with Power BI or Python for the better-paid posts.

Job description

We are seeking a Data Engineer with Grafana experience designs and builds the underlying data pipelines, databases, and integrations that feed real-time metrics, logs, and business telemetry into Grafana dashboards.

Requirements -

A bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related quantitative field. [1]
Experience: Typically ranges from 3 to 8+ years of hands-on experience in data engineering, BI development, or cloud/DevOps monitoring roles. [1, 2, 3]
Certifications: Vendor-specific or cloud certifications (such as AWS Certified Data Engineer, Microsoft Azure certifications, or Databricks credentials) are heavily preferred by employers like those featured on PNet and local tech listings.
Data Pipeline & ETL Development: Build and maintain scalable pipelines that ingest high-volume, event-based, or time-series data from sources like cloud platforms (AWS, GCP, Azure), databases (PostgreSQL, MySQL), or telemetry collectors (Prometheus, Loki, Grafana Alloy).
Time-Series & Database Optimization: Write and optimize complex SQL and database queries to ensure fast dashboard rendering and low-latency metrics retrieval.
Dashboard & Alert Engineering: Partner with software developers, DevOps, and business stakeholders to turn requirements into interactive Grafana dashboards, threshold alerts, and real-time monitoring panels.
Data Quality & Governance: Monitor pipeline reliability, manage schema designs, and ensure data integrity across multi-team observability stacks
Data Engineering: Python, SQL, ETL/ELT workflows, data modeling, and cloud infrastructure (AWS, GCP).
Observability & Time-Series: Grafana, Prometheus, InfluxDB, Loki, Tempo, and OpenTelemetry / Grafana Alloy.
Complementary BI Tools: Experience with alternative analytics or visualization platforms like Power BI, Tableau, or Looker.
Build and maintain data pipelines integrating fleet, fuel, toll, maintenance and tracking information.
Maintain shared master data across RT46 and RT62, including customers, vehicles, drivers and merchants.
Implement transaction reconciliation, data migration, data quality controls, and Grafana monitoring and alerting.

Salary to be discussed.

Position - Contract

Please respond with a detailed copy of your cv only if the if the above requirements are met.

Work Location: In person

Found on Indeed · Posted 6 days ago · Last checked Today

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Found on Indeed · Posted 6 days ago