Software Engineer - Analytics

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

Job summary

A tech company specialized in data analytics is seeking a passionate Software Engineer - Analytics to build innovative data products. The role requires handling large datasets, developing unique data structures, and writing advanced algorithms. Candidates should have 2-3 years of software development experience and a strong understanding of SQL, Java or Python, and big data technologies. An analytical mind and problem-solving skills are essential for success in this position.

Qualifications

• Bachelor's degree or higher in relevant engineering fields or Statistics/Mathematics.
• 2 to 3 years of experience in product development, algorithmic work.
• Exposure to cloud environment and agile processes.

Responsibilities

• Develop software that creates data-driven intelligence using Big Data backends.
• Conduct exploratory analysis for efficient data structures and algorithms.
• Manage data in large scale stores like NoSQL databases.
• Collaborate with engineering and product development teams.

Skills

Problem-solving aptitude

Knowledge of JAVA or Python

Experience with data processing analytics

Strong SQL understanding

Understanding of machine learning algorithms

Education

Bachelor’s degree in Computer Science, IT, or Statistics

Tools

Python libraries (pandas, matplotlib, Scipy)

Big Data technologies (Hadoop, Spark)

NoSQL databases (MongoDB, Cassandra)

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