What you’ll do:

• Drive the data analytics engineering product roadmap with multiple projects managed simultaneously
• Lead the software development that creates data driven intelligence in the products which deals with Big Data backends
• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule
• Collaborate with stack holders for driving the overall roadmap to a success
• Mentor the highly motivated team of data analytics engineers.
• 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.

What makes you a great fit:

• 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.
• Experience of 11 to 15 year with product development, having done algorithmic work
• 5+ years of experience working with large data sets or do large scale quantitative analysis
• 5+ years of experience in software development and project management
• 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 experience in Python programming
• Ability to drive product roadmap with multiple items
• Knowledge of software architecture and software design
• Understanding of software design life cycle
• Understanding of setting up processes for agile project management practices
• Proven experience in managing and leading the team
• 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)
• In depth skill in working and managing large Databases such as indexing, sharding, Caching etc.
• In depth Knowledge of Big Data technologies such as Hadoop, Yarn, Redshift, Spark, Kafka, Pig/Hive etc.
• Understanding of Machine learning algorithms
• Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo
• Understanding of geospatial data stores, PostGIS will be a plus.
• Understanding of Data visualization desirable