Analytics Engineer

Quick Facts

• Role: Analyze and visualize large-scale IT infrastructure and asset data
• Focus: Build pipelines and interactive dashboards for internal stakeholders

Description

Build and maintain ETL/ELT data pipelines and interactive dashboards that turn enterprise IT infrastructure and asset data into clear metrics. Use advanced SQL and modern data platform tooling (e.g., PySpark/Databricks/Snowflake) to extract, validate, and model insights from large multi-source datasets. Apply frontier GenAI/LLM tools to improve workflows and analytical modeling while engaging stakeholders to translate requirements into data solutions.

Responsibilities

• Design, build, and maintain interactive Power BI (or equivalent) dashboards
• Develop, optimize, and maintain ETL/ELT pipelines processing massive volumes of asset and infrastructure data
• Engage customers, business partners, and engineering teams to identify requirements and resolve complex data challenges independently
• Write complex, optimized SQL queries to manipulate, validate, and extract insights from multi-source large-scale databases
• Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency
• Assist in defining data mappings, transformations, and schema normalizations to maintain data integrity

Requirements

• At least 4 years in data analytics with strong quantitative and qualitative analytical skills
• Advanced, production-grade SQL for complex querying, data joins, and analytical operations
• Robust experience building ETL/ELT pipelines, ideally with PySpark, Databricks, or Snowflake (or equivalent modern cloud technologies)
• Hands-on experience with massive enterprise IT infrastructure, hardware/software asset, network configuration, or cloud resource datasets
• Proficiency building interactive dashboards using Power BI (or similar tools like Tableau or Qlik)
• Excellent oral and written communication skills; ability to lead data discussions and customer-facing interactions
• Practical experience using GenAI tools and LLM framework integrations
• Upper-intermediate English level

Benefits

• Mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation with USD-based budgets for education, fitness, and team activities
• Flextime with remote and office options