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Azure Data Engineer at Inabia Software & Consulting Inc.

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Cost Management, Azure Billing, FinOps, Cloud Economics, SQL, KQL, Azure Reservations, Azure Savings Plans, SKU Classification, Cost Analytics, Cloud Agnostic Analytics Stacks, AWS CUR, GCP Billing Exports

Industry

Individual and Family Services

Description

Required experience · Deep, hands-on experience working with Azure Cost Management and Billing data in real production environments. · Strong understanding of how Azure billing maps to actual infrastructure, including VM sizes and series, managed disks, storage tiers, networking charges, and platform services. · Proven experience advising on and implementing Azure Reservations and Azure Savings Plans, including nuanced handling of fees, usage, and eligible SKUs. · Experience classifying and normalizing large volumes of Azure SKUs into logical product hierarchies suitable for FinOps and analytics use cases. · Ability to read, review, and reason about SQL and/or KQL used for billing data transformation, with the capability to contribute hands on when required. · Prior experience in FinOps, cloud economics, cloud billing, or cost and usage analytics roles. · Comfortable operating in a senior advisory capacity within a staff augmentation engagement. Nice to have · Experience aligning Azure billing models with AWS CUR and GCP billing exports. · Familiarity with open table formats such as Iceberg and cloud agnostic analytics stacks. · Experience working with custom or nonvendor standard cost models rather than off the shelf FinOps frameworks.

Responsibilities

The role involves deep, hands-on experience managing and analyzing Azure Cost Management and Billing data within production environments. Key duties include advising on and implementing Azure Reservations and Savings Plans, and classifying large volumes of Azure SKUs for FinOps and analytics.