[SO] Senior Data Analyst – Databricks / Modern Data Platform
Core
Design, build, and maintain scalable data solutions and modern data platforms for analytics and BI.
Role type
Senior Data Engineer (Databricks/Cloud)
Builds
Scalable data pipelines, ETL/ELT processes, and cloud data solutions on Databricks, Delta Lake, Azure, and Microsoft Fabric.
Domain
Cloud Data Engineering / Lakehouse Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, SQL, PySpark, Python, ETL/ELT, data modeling, data warehousing, lakehouse architecture, Delta Lake, cloud platforms (Azure/Microsoft Fabric), performance optimization, data quality, production support
Preferred skills
Power BI, SSAS, Microsoft SQL Server, Oracle, SSIS, Azure Data Factory, CI/CD, Git, DevOps, Machine Learning, Agile/Scrum
Technologies
Databricks, Delta Lake, Azure, Microsoft Fabric, Power BI, SSAS, Azure Data Factory
Responsibilities
Design and develop scalable data pipelines using Databricks, SQL, Python, and PySpark; Build and optimize ETL/ELT processes for structured and semi-structured data; Optimize performance by monitoring data injections and queries; Ensure data quality, reliability, governance, and security across data solutions; Support integration between on-premise and cloud data sources; Provide reliable datasets and data models for Power BI / BI / analytics; Troubleshoot production issues, perform root-cause analysis, and continuously improve existing solutions; Take ownership of technical solutions and provide guidance to other team members; Work with business stakeholders to translate requirements into practical and scalable data solutions.
Seniority
Senior, hands-on IC