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Exp - 7 to 10 Years Skills Required Primary Skills Data engineerFin opscloud analytics Job Description Key Responsibilities Design and maintain scalable ETL/ELT pipelines for cloud cost, usage, operational, and financial data. Integrate data from AWS, Azure, GCP, enterprise applications, APIs, and databases into centralized analytics platforms. Develop cloud cost data models, data warehouses, and analytics datasets to support FinOps reporting and decision-making. Build dashboards, KPIs, executive scorecards, and reports for cloud spend, utilization, budgeting, forecasting, and cost optimization. Ensure data quality, governance, lineage, and consistency across cloud financial and operational datasets. Analyze cloud consumption trends and provide actionable insights to improve resource utilization and optimize costs. Collaborate with Finance, Cloud Engineering, Platform Engineering, and business stakeholders to enable chargeback/showback and FinOps best practices. Support data governance, metadata management, master data management, and continuous improvements to the enterprise data platform. Skills 7+ years of experience in Data Engineering, Data Integration, and Analytics. Solid SQL, Python, ETL/ELT, and cloud data engineering experience. Experience with AWS, Azure, or GCP billing and cost management datasets. Hands-on experience with Power BI/Tableau and modern cloud data warehouses (Snowflake, Databricks, Redshift, BigQuery, Synapse, etc.). Knowledge of FinOps principles, cloud cost optimization, budgeting, forecasting, and cloud financial management is highly preferred. Apply with Your Bench .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.