FinOps Data Analytics PowerBI and Data Engineering Hyderabad,5days off

Job highlights

• 10-15 years in Data Engineering with expertise in PySpark, Databricks, and FinOps data engineering
• Analyze large-scale datasets, develop and optimize PySpark notebooks, build FinOps data models, ingest cloud billing data, and create curated datasets for reporting and forecasting

Responsibilities

• Develop Power BI reports using Power Query, Data Modelling, DAX, Visualizations, Power Bi Service.
• Power BI Workspace Roles, RLS roles, Performance Optimization, Incremental refresh, Query folding.
• Power BI Publishing Reports, Scheduled refresh, Alerts, Workspace.
• Develop cost and usage reports using Databricks SQL and PySpark.
• Build and maintain FinOps data models within Databricks Lakehouse.
• Ingest cloud billing data from AWS CUR, Azure Cost Management, and vendor sources.
• Create curated FinOps datasets for reporting and forecasting.
• Optimize data processing jobs for performance and cost efficiency.
• Develop ETL/ELT processes for FinOps data integration.

Qualifications we seek in you!

Minimum Qualifications

• Bachelors degree in computer science, Information Technology, Data Science, Statistics, Mathematics, or related fields.
• 10–15 years of experience in Data Analytics, Business Intelligence, or Data Engineering roles.
• Experience working with enterprise-scale data platforms.
• Experience with FinOps – Data Analytics would be preferred
• 5+ years of experience as a Power BI Data Analyst.
• Strong business acumen and ability to connect financial data to business value
• Excellent communication and executive presentation skills
• Experience working with cross-functional stakeholders at senior levels

Preferred Qualifications/ Skills

• Power BI Certification
• Experience with FinOps and cost management tools:
• Apptio Cloudability
• AWS Cost Explorer
• Azure Cost Management
• Exposure to multi-cloud enterprise environments