Data Engineer (Analytics)
NavaFull Time
Junior (1 to 2 years)
Candidates must possess at least 5 years of experience in data engineering or analytics, with advanced SQL and database management expertise. Proficiency in Python for data processing and automation, JavaScript for metrics calculations and query optimization, and experience with Grafana and Retool for dashboard development are required. Additionally, experience with AWS/EC2 and PostgreSQL, along with multi-platform system integration, is necessary.
The Senior Analytics Engineer will develop AI-powered documentation solutions and contribute to MCP development, build centralized Opensearch-based documentation discovery services, and integrate DX tooling for engineering metrics. Responsibilities include building and maintaining ETL pipelines with data validation, creating and validating dashboards using Grafana and Retool, performing time series data analysis, managing PostgreSQL/data warehouse systems, and conducting survey analysis, ROI analysis, and data correlation across platforms.
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