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LogiNext is looking for a passionate Software Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes. Responsibilities: Software Development that creates data driven intelligence in the products which deals with Big Data backends Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements The system may or may not involve machine learning models and pipelines but will require advanced algorithm development Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.) Creating metrics and evaluation of algorithm for better accuracy and recall Ensuring efficient access and usage of data through the means of indexing, clustering etc. Collaborate with engineering and product development teams Requirements: Bachelors degree or higher in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or bachelors degree or higher in Statistics, Mathematics, with hands on background in software development. Experience of 2 to 3 year with product development, having done algorithmic work Understanding of SaaS based products and services. Analytical mind and problem-solving aptitude Able to work independently and set goals keeping business objectives in mind Knowledge of JAVA or Python programming languages Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.) OR JAVA (RapidMiner, JavaML, JSAT etc.) Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis) Understanding of working and managing large Databases such as indexing, sharding, Caching etc. Exposure to Big Data technologies such as Hadoop, Yarn, Redshift, Spark, Kafka, etc. Understanding of geospatial data stores, PostGIS will be a plus. Understanding of Machine learning algorithms will be a plus. Exposure to Data visualization desirable .
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.