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Azure Data Engineer Role Description We are seeking a skilled and motivated Senior Data Engineer to join our engineering team. He/she will be responsible for building robust and scalable Data pipelines while collaborating across teams to create scalable, high-quality, maintainable product. Technical Skills PythonPySparkDatabricksAzure Cloud platformNoSQL Databases (cosmosdb, mongodb, )UnityCatalogDatascience basic knowledge Responsibilities Design, build, and maintain data transformation pipelines using PySpark and Databricks. Manage effeciently large dataset.Manage NoSQL database - CosmosDB.Implement and maintain complex data calculation formula.Open to collaborate with Software Engineers.Participate in code reviews, design discussions, and software planning. Contribute to automation, testing, and deployment processes. Experience- 7 13 years Location: Pune, Bangalore, Delhi AWS Data Engineer Role Description We are seeking a skilled and motivated Senior Data Engineer to join our engineering team. He/she will be responsible for building robust and scalable Data pipelines while collaborating across teams to create scalable, high-quality, maintainable product. Technical Skills Proficiency in Python for data transformation and automation.Experience with Terraform and AWS Cloud infrastructure.Familiarity with Java for SCADA software development.Understanding of Data Lake architecture and data modeling.Knowledge of MQTT, Greengrass, and OPC-UA protocols.Experience with Windows Server management and PowerShell scripting.Ability to create and manage Grafana dashboards using SQL queries.Basic knowledge of AWS CloudWatch and AWS Glue. Role Description Design and implement data transformation workflows using Python and AWS services.Develop and maintain infrastructure using Terraform and AWS Cloud.Standardize and manage raw and curated data in a multi-source Data Lake.Build and maintain SCADA data collection software deployed on AWS Greengrass.Automate deployment of Greengrass across multiple sites and ensure operational stability.Monitor and manage Windows servers hosting Greengrass using PowerShell.Create and maintain Grafana dashboards for data visualization and system monitoring.Coordinate with IT teams to manage incidents and plan maintenance activities.Use AWS CloudWatch to monitor system health and report errors.Integrate CRM data (Salesforce) into Power BI using AWS Glue and Python Lambdas.Collaborate with Data Platform teams to manage access, API provisioning, and folder creation. Highly Recommended Advanced understanding of SCADA systems and industrial data flows.Experience with automated deployment and multi-site configuration management.Familiarity with network administration and cybersecurity principles.Basic knowledge Salesforce integration.OptionalTechnical Skills:Experience with Power BI dashboard creation.Knowledge of API management and data access provisioning on enterprise platforms. Experience- 7 13 years Location: Pune, Bangalore, Delhi .
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.