Senior Data Analytics Engineer – STB & Databricks
Quest Global (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 12–20 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze STB telemetry and device logs to identify issues, trends, anomalies, and root causes.
- Develop and optimize complex SQL queries, Python scripts, and PySpark workflows in Databricks to support data analysis and reporting.
- Define and validate KPIs for device performance metrics; build dashboards and reports for engineering and business decision-making.
Minimum Requirements
- Proficient in SQL, Python, PySpark, and Databricks Spark architecture.
- Experience analyzing STB telemetry and troubleshooting device issues.
- Skilled in defining KPIs and performing statistical validation of results.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Hands-on experience in investigating STB device issues with strong root cause analysis skills supported by data evidence.
- Ability to develop scalable, reliable analytical workflows and automate insights using AI and machine learning techniques.
- Experience collaborating cross-functionally with firmware, QA, product, and data engineering teams to drive issue resolution.