Raindrops Technology / Quantryx is seeking Data Engineer / BI & Analytics Engineer to support Data Center Operations and relevant activities including Supply Chain, Logistics. This role will bridge infrastructure data and operational decision-making across hardware, power, thermal, capacity, and logistics environments.
The ideal candidate combines strong BigQuery/SQL, data engineering, Python, analytics, and BI/dashboard development skills.
Key Responsibilities
Design, build, and optimize ETL/ELT pipelines and large-scale datasets in BigQuery.
Develop scalable data models, tables, and data marts for operational analytics and reporting.
Write and optimize complex SQL queries for performance, reliability, and large-volume data processing.
Build and maintain dashboards and operational metrics using Looker, Plx, or similar BI platforms.
Use Python for data transformation, workflow automation, analysis, and pipeline development.
Analyze hardware, power, thermal, capacity, and logistics data to identify trends, anomalies, and operational insights.
Partner with Data Center Operations stakeholders to translate business requirements into technical solutions.
Manage requirements, deliverables, issues, and dependencies using Buganizer or similar project-management/ticketing tools.
Minimum Qualifications
4-6+ years of experience in Data Engineering, BI, Analytics, or related roles.
Strong hands-on experience with SQL and enterprise data warehouses, preferably BigQuery.
Experience developing ETL/ELT pipelines, data models, and optimized database tables.
Proficiency with Python for data processing, automation, and analytics.
Experience developing dashboards using Looker, Tableau, Power BI, or similar tools.
Strong analytical, problem-solving, requirements-gathering, and communication skills.
Preferred Qualifications
Experience with Google Cloud Platform, BigQuery, Looker, PLX, and Buganizer.
Prior experience supporting Google or enterprise TVC environments.
Familiarity with Data Center operations, infrastructure telemetry, hardware, power/thermal data, or supply-chain analytics.
Experience with Machine Learning, statistical analysis, time-series forecasting, or anomaly detection.

Data Analytics & BI Engineer

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