Software Engineer - Analytics

LogiNext is seeking a dedicated Software Engineer - Analytics to contribute to the development of data products aimed at extracting valuable business insights for enhanced efficiency and customer experience. In this role, you will be responsible for managing, processing, and analyzing substantial volumes of raw data within scalable databases. Additionally, you will be involved in designing unique data structures and formulating algorithms for innovative product sets. The ideal candidate must possess critical thinking and problem-solving abilities, along with a proven track record in software development incorporating advanced algorithms to handle extensive data loads. Familiarity with statistics and machine learning algorithms is advantageous. Exposure to cloud environments, continuous integration, and agile scrum practices is preferred. Responsibilities: - Develop software solutions that integrate data-driven intelligence into products focusing on Big Data backends. - Conduct exploratory analysis of data to devise efficient data structures and algorithms based on specific requirements. - Develop and manage advanced algorithms for systems that may or may not incorporate machine learning models and pipelines. - Manage data within large-scale data stores (e.g., NoSQL DBs, time series DBs, Geospatial DBs, etc.). - Establish metrics and evaluate algorithms to enhance accuracy and recall rates. - Ensure effective data access and utilization through techniques like indexing and clustering. - Collaborate closely with engineering and product development teams. Requirements: - Bachelor's degree or higher in Engineering, specializing in Computer Science, Information Technology, Information Systems, or related fields from a reputable institution, or a degree in Statistics or Mathematics with a solid software development background. - 2 to 3 years of experience in product development with a focus on algorithmic work. - Proficiency in understanding SaaS-based products and services. - Strong analytical skills and problem-solving aptitude. - Ability to work independently, set objectives aligned with business goals. - Proficiency in JAVA or Python programming languages. - Experience with data processing analytics and visualization tools in Python (e.g., pandas, matplotlib, Scipy) or JAVA (RapidMiner, JavaML, JSAT). - Thorough knowledge of SQL and querying NoSQL databases (e.g., MongoDB, Cassandra, Redis). - Understanding of operating and managing large databases including indexing, sharding, caching, etc. - Exposure to Big Data technologies like Hadoop, Yarn, Redshift, Spark, Kafka, etc. - Familiarity with geospatial data stores, with knowledge of PostGIS considered a plus. - Understanding of Machine learning algorithms is beneficial. - Exposure to Data visualization tools is desirable.,