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Skills Required Primary Skills scalable data pipelinesETL/ELT workflowsand data integration solutions. Job Description We are seeking a skilled Data & Integration Engineer with 7+ years of experience in designing, developing, and maintaining scalable data integration solutions. The ideal candidate will have expertise in data engineering, API integrations, cloud platforms, and ETL processes to support AI, automation, and enterprise data initiatives. Key Responsibilities Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration solutions. Develop and optimize complex SQL queries, views, stored procedures, and data models for analytics and operational reporting. Integrate data from REST APIs, Graph APIs, enterprise applications, databases, and cloud platforms. Process, transform, and manage structured, semi-structured, and unstructured data, including JSON. Design, implement, and support cloud-based data solutions on Azure or AWS. Troubleshoot and resolve data quality, synchronization, transformation, and integration issues. Collaborate with business and technical stakeholders to gather data requirements and deliver scalable integration solutions. Maintain technical documentation, data mappings, and integration workflows while adhering to data governance best practices. Required Qualifications Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or a related field. 7+ years of experience in Data Engineering, Data Integration, or ETL development. Strong expertise in SQL, including joins, views, stored procedures, query optimization, and performance tuning. Hands-on experience with REST APIs, Microsoft Graph APIs, and enterprise application integrations. Experience working with JSON, XML, and data transformation techniques. Strong understanding of data modeling, normalization, and relational database concepts. Experience with Azure services (Storage, Azure SQL, Logic Apps) or AWS services (Redshift, S3, Lambda, Glue). Experience with Microsoft Power Automate or Azure Logic Apps for workflow automation. Proficiency with Git, Visual Studio Code, and version control best practices. Strong analytical, troubleshooting, and problem-solving skills. Preferred Skills Experience integrating with enterprise platforms such as ServiceNow, Dynatrace, SolarWinds, and Nexthink. Programming experience using Python for data processing and automation. Knowledge of data architecture, metadata management, and data governance principles. Experience supporting AI, automation, and cloud-native data solutions. Familiarity with Agile/Scrum development methodologies and DevOps practices. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.