Senior Software Engineer - Analytics

LogiNext; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A data analytics company in Mumbai is searching for a Senior Software Engineer - Analytics to create data products that enhance efficiency and customer experience. The ideal candidate will have a strong background in software development, particularly with advanced algorithms and data handling. You will be responsible for managing large data volumes and developing innovative data structures. Experience with machine learning and Big Data technologies is a plus. This opportunity offers a chance to work in a collaborative environment with a focus on cutting-edge data analytics.

Qualifications

• 4 to 7 years of experience with product development, having done algorithmic work.
• 3+ years of experience working with large data sets or doing large-scale quantitative analysis.
• Able to mentor and manage team and take responsibilities of team deadlines.

Responsibilities

• Software Development that creates data-driven intelligence in products dealing with Big Data.
• Exploratory analysis to create efficient data structures and algorithms.
• Manage data in large-scale data stores such as NoSQL databases.

Skills

Critical thinking

Problem-solving

Software development

Advanced algorithms

Data handling

Machine learning algorithms

Python programming

Data processing analytics

SQL

NoSQL databases

Big Data technologies

Data visualization

Education

Master’s or Bachelor’s degree in Computer Science or related field

Higher degree in Statistics or Mathematics

Tools

Python

pandas

matplotlib

Scipy

Hadoop

Spark

Kafka

PostGIS

Job description

LogiNext is looking for a passionate Senior 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

• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or master’s degree or higher in Statistics, Mathematics, with hands on background in software development.
• 4 to 7 years of experience with product development, having done algorithmic work
• 3+ years of experience working with large data sets or do large scale quantitative analysis
• Understanding of SaaS based products and services.
• Strong algorithmic problem-solving skills
• Able to mentor and manage team and take responsibilities of team deadlines
• Hands on with Python programming language
• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)
• Strong understanding of SQL and
• Understanding of 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, Pig/Hive etc.
• Exposure to Machine learning algorithms
• Exposure of geospatial data stores, PostGIS will be a plus.
• Exposure to Data visualization desirable