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Actively participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing, roll-out, and support. Solve complex business problems by utilizing a disciplined development methodology. Produce scalable, flexible, efficient, and supportable solutions using appropriate technologies. Analyze the source and target system data. Map the transformation that meets the requirements. Interact with the client and onsite coordinators during different phases of a project. Clear concept of dimensional data modeling (Logical), slowly changing dimensions, normalization, and denormalization. Translate logical models to physical and data flows as per the business requirements. Update and optimize the local and metadata models. Evaluate the implemented data system for variances, discrepancies, and efficiencies. Troubleshoot and optimize the existing data flows, models, and processing jobs by modularizing. Explore ways to enhance the data quality and reliability. Develop and automate workflow using declarative and scripted Jenkins pipeline. Manage and configure web servers like Apache or Nginx. Skills and Experience 6+ years of experience working on complex development projects. Experience managing and administering supply chain management structure using tools like Subversion/Git. Mandatory expertise in Python and Bash. Experience in Groovy/GO scripting is desirable. Efficiently support Node.js/JavaScript/Java Scala development. Good understanding of continuous integration and delivery methodologies. Any experience in Docker/Ansible/Kubernetes or similar grid computing technologies will be an advantage. Knowledge of CI/CD build tools such as Jenkins, Logging, and monitoring tools. Hands-on in writing user-defined functions. Previous knowledge of implementing the DQ framework on Spark would be an added advantage. Should be good in writing programming using Python/Scala/PySpark.
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.