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LogiNext is hiring for Junior Software Engineer – Analytics | Apply Now!

 


LogiNext Seeks Data-Driven Junior Software Engineer for Analytics Products!

Unleash Your Analytics Powers in Mumbai!

LogiNext, a leader in cutting-edge technology, is on the hunt for a passionate Junior Software Engineer - Analytics to join their vibrant team in Mumbai. In this dynamic role, you'll be building data-driven products that extract valuable insights, optimize efficiency, and elevate customer experiences.

Responsibilities:

  • Design and develop software that harnesses the power of big data for LogiNext's products.
  • Dive deep into data, utilizing your analytical skills to create efficient data structures and algorithms.
  • Master the art of managing data in expansive, scalable databases like NoSQL, time series, and geospatial systems.
  • Craft insightful metrics and evaluate algorithms for peak accuracy and recall.
  • Ensure data accessibility and optimal usage through indexing, clustering, and other techniques.
  • Collaborate seamlessly with engineering and product development teams to bring data-driven solutions to life.

Requirements:

  • A Bachelor's degree or higher in Computer Science, Information Technology, Information Systems, a related field (from a top-tier institution), or Statistics/Mathematics with hands-on software development experience.
  • Up to 1 year of product development experience with a proven track record of algorithmic work.
  • A sharp analytical mind and a knack for problem-solving.
  • The ability to work independently, set goals aligned with business objectives, and prioritize effectively.
  • Proficiency in JAVA or Python programming languages.
  • Familiarity with data processing analytics and visualization tools in Python (pandas, matplotlib, Scipy) OR JAVA (RapidMiner, JavaML, JSAT).
  • A solid understanding of databases and SQL querying.
  • Experience with NoSQL databases like MongoDB, Cassandra, and Redis is a plus.
  • Exposure to big data technologies like Hadoop, Yarn, Redshift, Spark, and Kafka is a major bonus.
  • Understanding of geospatial data stores and PostGIS is a valuable asset.
  • Knowledge of machine learning algorithms is a definite advantage.

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