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About the Opportunity A fast-scaling enterprise technology partner specializing in cloud data modernization and AI-driven analytics, we help global clients architect scalable data ecosystems on Microsoft Azure. Our team delivers end-to-end data engineering solutionsfrom ingestion and transformation to MLops and real-time analyticspowering data-driven decisions for Fortune 500 and mid-market firms across BFSI, healthcare, and retail sectors. Role & Responsibilities - Design, build, and maintain scalable Azure data pipelines using Azure Data Factory, Databricks, and Synapse Analytics. - Optimize data workflows for performance, cost-efficiency, and reliability across batch and streaming workloads. - Implement data governance, lineage, and security standards using Azure Purview and RBAC controls. - Collaborate with data scientists and analysts to operationalize machine learning models via Azure ML and MLflow. - Automate deployment and monitoring of data infrastructure using Infrastructure-as-Code (IaC) tools like Terraform or ARM templates. - Partner with cross-functional teams to translate business requirements into technical data architecture blueprints. Skills & Qualifications Must-Have - Azure Data Factory - Azure Databricks - Azure Synapse Analytics - PySpark - SQL - Python - Terraform - Git Preferred - Azure ML - Delta Lake - MLflow Benefits & Culture Highlights - Work with Fortune 500 clients on cutting-edge Azure data projects impacting global business outcomes. - On-site collaborative environment with mentorship from Azure-certified architects and data scientists. - Chance to earn Azure Fundamentals, DP-203, or DP-204 certifications sponsored by the company. .
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.