Job Title: Specialist / Senior Specialist / Associate Principal – GCP & AWS FinOps Data Engineer

Company: LTIMindtree

Locations: Bengaluru, Chennai, Mumbai, Hyderabad, Pune, Noida, Kolkata, Coimbatore

Job Type: Full-time, In office

About the Role

We are seeking an experienced Data Engineer with strong expertise in Google Cloud Platform (GCP), AWS, and FinOps to architect, design, and build scalable cloud-native data platforms supporting enterprise FinOps initiatives.

Key Responsibilities:

- Lead the architectural design of enterprise FinOps Data Platforms built on GCP and AWS.
- Define and implement the FOCUS (FinOps Open Cost and Usage Specification) data model.
- Normalize cloud billing data across AWS CUR 2.0, GCP BigQuery Billing Export, Azure, and OCI.
- Build and maintain workflow orchestration using Cloud Composer (Apache Airflow) DAGs.
- Implement BigQuery Row-Level Security (RLS), IAM policies, and dataset-level controls.
- Automate deployments of SQL scripts, Airflow DAGs, and infrastructure via AWS CodePipeline.

Mandatory Requirements:

- Experience: 6 to 15 years in Data Engineering / Cloud Data Architecture.
- GCP: BigQuery, Cloud Composer (Airflow), Dataset Architecture, IAM & RLS.
- AWS: AWS Architecture, AWS CodePipeline, Cost & Usage Reports (CUR).
- FinOps: Hands-on experience with multi-cloud billing, cost amortization, and tag normalization.
- Notice Period: Candidates must be able to join within 30 days.

Compensation Band:

- 6–8 Years: Up to ₹20 LPA
- 8–12 Years: Up to ₹30 LPA
- 12–15 Years: Up to ₹36 LPA

Pay:



₹2,000,000.00 - ₹3,600,000.00 per year

Application Question(s):

- Have you ever been employed by or received compensation from more than one organization during the same calendar period?
- Did all of your previous employers make regular, compliant contributions to your Employees' Provident Fund (EPF), where applicable?
- Is your official notice period 30 days or less (or are you currently serving notice/available immediately)?
- Is your expected CTC within or equal to the posted budget slab for your experience band (Up to ₹20 LPA for 6-8 yrs, ₹30 LPA for 8-12 yrs, ₹36 LPA for 12-15 yrs)?
- re you familiar with or have you worked with the FOCUS (FinOps Open Cost and Usage Specification) standard for normalizing cloud billing data?
- Are you open to working On-site full-time in one of the designated locations (Bengaluru, Chennai, Mumbai, Hyderabad, Pune, Noida, Kolkata, Coimbatore)?
- Do you have direct experience working with cloud cost optimization and processing multi-cloud billing datasets (such as AWS Cost & Usage Reports / CUR 2.0 or GCP BigQuery Billing Exports)?
- Do you have hands-on experience setting up CI/CD automation pipelines for data workflows using AWS CodePipeline?
- Have you authored and deployed production ETL/ELT pipelines using Cloud Composer / Apache Airflow DAGs?
- Do you have at least 3 years of hands-on experience designing and optimizing production data architectures on GCP BigQuery (including partitioning, clustering, and Row-Level Security)?

Work Location: In person

📌 Senior Data Engineer GCP & AWS FinOps (India)
🏢 Tasknera
📍 India