Principal Engineer - Analytics

LogiNext; Mumbai; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading analytics company in Mumbai is seeking a Principal Engineer - Analytics to build data products that deliver valuable insights. This role involves leading projects, managing large data, and developing advanced algorithms. Ideal candidates should possess strong problem-solving skills, a degree in engineering or related fields, and at least 8 years of experience in product development. Proficiency in Python and understanding of machine learning algorithms is preferred. Join this dynamic team to enhance efficiency and customer experience.

Qualifications

• 8 to 10 years of experience in product development with algorithmic work.
• 5+ years of experience working with large data sets or large scale quantitative analysis.
• In-depth knowledge of Python programming languages.

Responsibilities

• Lead projects as a principal investigator and project manager.
• Conduct software development for data driven intelligence in products.
• Perform exploratory analysis to develop efficient data structures.

Skills

Critical thinking

Problem-solving

Python programming

Algorithmic problem-solving

Mentoring and managing team

Data processing analytics

Data visualization

SQL and querying

Understanding of SaaS products

Education

Master’s or Bachelor’s degree in Engineering or related field

Tools

Python libraries (pandas, matplotlib, Scipy)

Thorough knowledge of SQL

Big Data technologies (Hadoop, Yarn, Spark)

Job description

LogiNext is looking for a passionate Principle 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

• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule
• 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.
• 8 to 10 years of experience in product development, having done algorithmic work
• 5+ 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
• In depth Knowledge Python programming languages
• Understanding of software architecture and software design
• Must have fully managed a project with a team
• Having worked with Agile project management practices
• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, 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.
• Knowledge of Big Data technologies such as Hadoop, Yarn, Redshift, Spark, Kafka, Pig/Hive etc.
• Understanding of Machine learning algorithms
• Understanding of geospatial data stores, PostGIS will be a plus.
• Exposure to Data visualization desirable