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Software Engineer - Analytics

Mumbai, Maharashtra, India

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated
Apply at Loginext

What you’ll work on

Full posting
  • Develop software that adds data-driven intelligence to products on Big Data backends

  • Explore data to design efficient data structures and advanced algorithms

  • Manage data in large-scale stores such as NoSQL, time series and geospatial databases

  • Build metrics and evaluate algorithms for accuracy and recall

  • Improve data access through indexing and clustering

From the employer’s posting
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
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.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree or higher in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or bachelor’s degree or higher in Statistics, Mathematics, with hands on background in software development.
  • Knowledge of JAVA or Python programming languages
  • Experience of 2 to 3 year with product development, having done algorithmic work
  • Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.) OR – JAVA (RapidMiner, JavaML, JSAT etc.)
  • Understanding of SaaS based products and services.
  • Strong understanding of SQL and querying to NoSQL database (eg.

Preferred experience

  • Understanding of geospatial data stores, PostGIS will be a plus.
  • Understanding of Machine learning algorithms will be a plus.
Qualification wording
Bachelor’s degree or higher in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or bachelor’s degree or higher in Statistics, Mathematics, with hands on background in software development.
Knowledge of JAVA or Python programming languages
Experience of 2 to 3 year with product development, having done algorithmic work
Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.) OR – JAVA (RapidMiner, JavaML, JSAT etc.)
Understanding of SaaS based products and services.
Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis)
Understanding of geospatial data stores, PostGIS will be a plus.
Understanding of Machine learning algorithms will be a plus.
Education & alternatives
Requirements: - Bachelor’s degree or higher in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or bachelor’s 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

Tools in this posting

  • Java
  • Python
  • SQL
  • Hadoop
  • Kafka
  • NoSQL
  • Redis
  • Redshift
  • Spark
  • Matplotlib
  • pandas
  • SciPy
Source — Tool mentions in context
- 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.)
- 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)
- 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.
- 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.
- 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

Posting record

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Open 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026 · 150 days ago
Recorded sightings
183
Last seen by us
Oct 31, 2026

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Job description

View original posting ↗

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:

  • Bachelor’s degree or higher in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or bachelor’s 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
Source details

View original posting ↗

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Mumbai, Maharashtra, India

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