Senior Technical Lead
Chennai · Staff/Principal
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HIGH
Our tracked job listings for HCLTech show strong recent activity.
First 72 hours
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Skills required
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Job description
Job Summary
Azure Databricks & Data Engineering
- Design and implement Bronze / Silver / Gold data lake architecture using Azure Databricks + ADLS Gen2.
- Build scalable ingestion pipelines using Databricks Autoloader, Azure Data Factory, and APIs.
- Develop and optimize Spark (PySpark / SQL) jobs for large cloud billing, usage, and telemetry datasets.
- Implement Unity Catalog for fine-grained access control, auditing, and governance
-
inOps (Cloud Cost Management)
- Ingest and normalize cost & usage data from Azure Cost Management, AWS CUR, Cloudability, Excel-based finance sources, and ServiceNow CMDB.
- Build cost allocation, chargeback/showback, and optimization datasets.
- Develop Power BI semantic models and dashboards on Databricks Gold layer.
- Partner with Finance and Cloud teams to deliver cost transparency and optimization insights.
Key Responsibilities
Azure Databricks & Data Engineering
- Design and implement Bronze / Silver / Gold data lake architecture using Azure Databricks + ADLS Gen2.
- Build scalable ingestion pipelines using Databricks Autoloader, Azure Data Factory, and APIs.
- Develop and optimize Spark (PySpark / SQL) jobs for large cloud billing, usage, and telemetry datasets.
- Implement Unity Catalog for fine-grained access control, auditing, and governance
-
inOps (Cloud Cost Management)
- Ingest and normalize cost & usage data from Azure Cost Management, AWS CUR, Cloudability, Excel-based finance sources, and ServiceNow CMDB.
- Build cost allocation, chargeback/showback, and optimization datasets.
- Develop Power BI semantic models and dashboards on Databricks Gold layer.
- Partner with Finance and Cloud teams to deliver cost transparency and optimization insights.
Skill Requirements
Azure Databricks & Data Engineering
- Design and implement Bronze / Silver / Gold data lake architecture using Azure Databricks + ADLS Gen2.
- Build scalable ingestion pipelines using Databricks Autoloader, Azure Data Factory, and APIs.
- Develop and optimize Spark (PySpark / SQL) jobs for large cloud billing, usage, and telemetry datasets.
- Implement Unity Catalog for fine-grained access control, auditing, and governance
-
inOps (Cloud Cost Management)
- Ingest and normalize cost & usage data from Azure Cost Management, AWS CUR, Cloudability, Excel-based finance sources, and ServiceNow CMDB.
- Build cost allocation, chargeback/showback, and optimization datasets.
- Develop Power BI semantic models and dashboards on Databricks Gold layer.
- Partner with Finance and Cloud teams to deliver cost transparency and optimization insights.
Other Requirements
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