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๐๐ผ๐ฏ ๐ง๐ถ๐๐น๐ฒ: ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ ๐๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป: Coimbatore ๐๐ฏ๐ผ๐๐ ๐ก๐ผ๐๐ถ๐ป๐ ๐ถX NovintiX is a fast-growing engineering and digital transformation consultancy serving top Life Sciences, MedTech, and Healthcare clients across the US, Ireland, and Europe. We specialise in delivering high-impact digital programs, engineering services, and talent solutions that accelerate innovation, efficiency, and compliance. ๐๐ผ๐ฏ ๐ฆ๐๐บ๐บ๐ฎ๐ฟ y We are looking for a Data Engineer to design and build scalable data pipelines and architectures, particularly for supply chain data (inventory, shipping, procurement). The role involves developing data platforms, enabling predictive analytics, and ensuring high data quality and reliability. You will work closely with cross-functional teams to deliver robust, data-driven solutions in a fast-paced environment. ๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ Design and implement scalable data pipelines for supply chain data Develop and maintain data warehouses and data lakes Ensure data quality, integrity, and security across systems Collaborate with stakeholders to gather and define analytics requirements Build data models and support predictive analytics (demand forecasting, optimization) Implement data visualization solutions using Tableau, Power BI, or Qlik Sense Integrate data from multiple sources such as ERP, PLM, and other systems Develop APIs for seamless data exchange Work with cross-functional teams across supply chain, logistics, and IT Communicate complex technical concepts to non-technical stakeholders ๐ค๐๐ฎ๐น๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ Bachelorโs degree in Computer Science, IT, or related field 5+years of experience in data engineering Strong experience in Python, Java, SQL, and Spark SQL Hands-on experience with Hadoop, PySpark, and NoSQL databases Experience with data warehousing and data lake architectures Experience with cloud platforms such as Azure (ADF, Databricks) and AWS Familiarity with data visualization tools like Tableau, Power BI, or QlikSense Exposure to machine learning concepts and algorithms Knowledge of data governance and compliance ๐ฃ๐ฟ๐ฒ๐ณ๐ฒ๐ฟ๐ฟ๐ฒ๐ฑ ๐ฆ๐ธ๐ถl๐น๐ Experience working with supply chain or logistics data Strong analytical and problem-solving skills Experience in building scalable and high-performance data systems Ability to work in Agile environments and fast-paced teams ๐๐ผ๐ฟ๐ฒ ๐๐๐๐ฟ๐ถ๐ฏ๐๐๐ฒ๐ Strong ownership and accountability Excellent communication and collaboration skills Ability to simplify complex technical concepts Proactive mindset with a focus on continuous improvement Adaptability in dynamic work environments
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 aloneโbut this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer adsโ117,837 of themโhave 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 readyโnot 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.