Inviting applications for the role of Senior Data Engineer

Responsibilities

- Analyze large-scale structured and unstructured datasets using Databricks and PySpark.
- Develop cost and usage reports using Databricks SQL and PySpark.
- Develop PySpark notebooks to process large-scale cloud billing and usage data.
- 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.
- Build scalable Databricks notebooks and workflows.
- Develop ETL/ELT processes for FinOps data integration.
- Leverage Delta Lake for cost analytics datasets.
- Optimize Spark jobs and SQL workloads.

Qualifications we seek in you!

Minimum Qualifications

- Bachelors degree in computer science, Information Technology, Data Science, Statistics, Mathematics, or related field.
- 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 Engineering would be preferred
- 5+ years of experience Develop and optimize PySpark notebooks for data transformation and analysis.
- 5+ years of experience Query and analyzing data using Databricks SQL and Spark SQL.
- Robust 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

- Databricks Certified Data Analyst Associate
- Databricks Certified Data Engineer Associate
- Experience with FinOps and cost management tools:
- Apptio Cloudability
- AWS Cost Explorer
- Azure Cost Management
- Experience with automation tools and scripting (Python, APIs)
- Exposure to multi-cloud enterprise environments

📌 FinOps Data Analyst - Azure Databricks, Pyspark, Data Engineering -WFO (Hyderabad)
🏢 Genpact
📍 Hyderabad