Software Engineer - Analytics
Mumbai, Maharashtra, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingCollaborate with engineering and product development teams
From the employer’s posting
Ensuring efficient access and usage of data through the means of indexing, clustering etc. Collaborate with engineering and product development teams Requirements:
What you’ll bring
All qualificationsCore 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
- Redshift
- Spark
- Matplotlib
- pandas
- Scipy
- Redis
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
Job description
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on loginext.hire.trakstar.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 153
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.