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Don't watch the clock; do what it doeskeep going. "Sam Levenson" HomeSolutionsFree Architecture ConsultationCloud Migration Acceleration ProgramGenerative AIIOT SolutionRobotics Process AutomationCustomer360 for FinanceFraud DetectionInsurance Claim Process AutomationPay As You Go Data ResourcesProductsAI360DataNatureVoirDocuContext AI360 encompasses Data Collection, Analysis, Modeling, Deployment, and ongoing optimization, offering a 360-degree approach to harnessing the power of artificial intelligence. Read More Success Stories IndustriesBankingTelecommunication DataNature offers a comprehensive and all-in-one solution for data management powered by artificial intelligence, simplifying the process of handling data and harnessing its insights in a single platform. Read More Success Stories IndustriesBankingTelecommunication Voir is an enterprise AI agent platform to build, govern and deploy role-based agents grounded in your own data and procedures scoped by default, source-grounded and fully auditable. Read More Success Stories IndustriesBankingTelecommunication A Cloud-native AI-powered document processing solution that automate the Extraction and Analysis of unstructured data from various types of documents powered by Generative AI like ChatGPT. Read More Success Stories IndustriesBankingTelecommunicationAcademyInsightsTech InsightsAcademy InsightsAcademy EventsTech EventsSuccess StoriesAcademy Success StoriesSuccess StoriesCareerContact Us Become A Reseller HomeSolutionsFree Architecture ConsultationCloud Migration Acceleration ProgramGenerative AIIOT SolutionRobotics Process AutomationCustomer360 for FinanceFraud DetectionInsurance Claim Process AutomationPay As You Go Data ResourcesProductsDocuContext : An Intelligent Document ProcessingDataNature: Unified Data Intelligence PlatformVoirAI360 Studio Customer Intelligence PlatformAcademyInsightsTech InsightsAcademy InsightsAcademy EventsTech EventsSuccess StoriesAcademy Success StoriesSuccess StoriesCareerContact Us Become A Reseller homeCareer Databricks Data Engineer Databricks Data Engineer Databricks Data Engineer DLYTICA Inc. is seeking experienced Databricks Data Engineers to work on DataNature Sovereign AI Lakehouse, AI360 Studio, and enterprise projects across North America, Nepal, and the Middle East. Job Summary Location: Kathmandu, NepalWork arrangement: Hybrid/OnsiteJob type: Full-timeTotal openings: 5Experience: 35 yearsSenior/Lead opening: One position requiring 8+ years of experience Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks.Build and optimize ETL/ELT processes for enterprise data platforms.Work with PySpark, Spark SQL, Python, and Delta Lake.Implement data governance and access controls using Unity Catalog.Integrate data from multiple sources across cloud environments.Improve the performance, reliability, and scalability of data pipelines.Collaborate with international clients and cross-functional teams.Follow best practices for Git, CI/CD, documentation, and code quality. Required Skills DatabricksPySpark and Spark SQLPython and SQLDelta LakeUnity CatalogETL/ELT developmentAWS, Azure, or Google CloudApache Airflow or similar orchestration toolsGit and CI/CD Additional Requirements Strong professional English communication skillsAbility to participate in client-facing discussionsStrong analytical and problem-solving abilitiesExperience working in collaborative delivery environments How to Apply Please send your updated CV, expected salary, and availability Job Summary: Office Location Hybrid/Onsite Job Type Full Time Experience 3-5 years Working Hrs 8am -5pm Vacancy 5 Apply Now As an ISO-certified organization, we specialize in delivering Data Strategy, Architecture, and comprehensive Solutions for AI and Analytics Our Services IOT Tech EnablerGenerative AI EnablerData Driven Web/App DevelopmentData WarehouseData and AI TrainingsResource AugmentationBig Data Analytics and BIData Architecture Our Solutions IOT SolutionGenerative AIRobotics Process AutomationCustomer360 for FinanceFraud DetectionInsurance Claim Process AutomationFree Architecture ConsultationCloud Migration Acceleration Program Company Address Contact us to discuss your requirement. Location: Canada: 380 Wellington St Tower B, 6th Floor, London, ON N6A 5B5 , +1 5198520929 United States:1007 N Orange St. 4th Floor Suite #4875, Wilmington, Delaware 19801 , +1 (437) 837-0325 Nepal: Dlytica Nepal Pvt Ltd, Building next to Namaste Oil Store on 3rd floor, Balkumari Lalitpur Google Maps for Nepal office: https://maps.app.goo.gl/VYseaLNQVbX8oNwD7 Technical Support: info@dlytica.com, +977 9709181288, +1 5198520929 Academy Support: academy@dlytica.com, +1 (548) 468-7968, +1 (437) 837-0325,+977-9709152334 2026 Dlytica Inc. All Rights Reserved. Contact: Canada: +15198520929 , Nepal: +977 9709181288 Email: info@dlytica.com .
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.