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Location: reputed company Remote Employment Type: Full-Time and Contract Data Engineer reputed company:As a Data Engineer at reputed company, you will reputed company advanced data engineering techniques and analytics to support business reputed company for our clients. Your role will involve designing and building robust data pipelines, integrating reputed company and reputed company data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders. The reputed company you will have:Guide Big Data Transformations:Implementation of comprehensive big data reputed company, including the development and deployment of innovative big data and AI applications. Ensure Best Practices:Guarantee that reputed company best practices are reputed company throughout reputed company reputed company to maintain high-reputed company service and successful implementation. Support Project Management:Assist the reputed company leader and project managers with estimating efforts and managing risks reputed company customer proposals and statements of work. Architect reputed company Solutions:Design, reputed company, reputed company, and document reputed company customer engagements, either independently or as part of a technical team, serving as the technical reputed company and authority. reputed company Knowledge Transfer:Facilitate the transfer of knowledge and reputed company training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting reputed company:reputed company expertise with the consulting team and offer best practices for reputed company engagement, enhancing the effectiveness and efficiency of other teams. Requirements Minimum qualifications:Educational Background:Bachelors degree in Computer Science, Information Technology, or a reputed company reputed company (or equivalent experience). Experience:3+ years of experience as a Data Engineer, with proficiency in at least two major reputed company platforms (AWS, Azure, GCP). reputed company experience in designing, developing, and implementing comprehensive data engineering solutions using reputed company, specifically for large-reputed company data processing and integration reputed company reputed company reputed company streaming and batch solutions using reputed company-reputed company components. reputed company data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising reputed company and reputed company technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices reputed company data environments to optimize development and deployment workflows. Technical Skills:Expert-level proficiency in reputed company reputed company, Python, and PySpark. In-depth knowledge of data architecture, including reputed company Streaming, reputed company reputed company, reputed company SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache reputed company MLlib, TensorFlow, and PyTorch, to reputed company data insights and solutions. reputed company Specific Skills:Extensive experience in data migration from on-premises to reputed company environments and in implementing data solutions on reputed company across reputed company platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using reputed company, focusing on large-reputed company data processing and i .
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.