Key Skills : NodeJS, Python, Python web-frameworks, Web3.js, Ethereum, Hyberledger, Block chain Algorithms, Software Architecture, Machine Learning Models, Data Structures, MySQL, NoSQL, PostGRESQL
Scope Of Responsibility :
Responsible for architecture and design of models / projects.
As the primary technical authority on Big Data Analytics and is responsible for the overall robustness of architecture and design across functional and non-
functional parameters including performance, security, usability, scalability etc.
Collaborates in planning initiatives related to Strategy, Future Roadmaps, System Architecture, Development, and Operations.
To understand products, technologies and its applications should be able to resolve technical and module related problems.
Requires no to minimal direction and supervision.
Able to represent the product team externally and / or other external technology body with a level of authority and confidence.
Suggests improvements, Identify problems or adapt existing methods and techniques drawing from past experiences and feedback.
Primary Skills :
Expert in Python, with knowledge of at least one Python web framework such as Django, Flask, etc.
Knowledge of Django Rest Framework, Celery, Redis and Swagger a huge plus.
Analyses competitive technologies and makes appropriate architectural / design decisions.
Develop proofs-of-concept and prototypes to help illustrate approaches to technology and business problems.
Creates architecture and technical design documents to communicate solutions that will be implemented by the development team.
Building real-time data pipelines using Kafka / Spark / Storm / Flume.
Solid understanding of MapReduce / Pig / Hive / Spark.
Experience using languages such as Python / R / Scala / Java for data analytics applications.
Building consumption frameworks on Hadoop (Restful Services, Self-Service BI and Analytics)
Experience with PaaS platforms such as CloudFoundry.
Extensive and working experience with machine learning and regression models
Familiarity with event-driven programming in Python and with some ORM (Object Relational Mapper) libraries.
Secondary Skills (Desirable) :
Data integration (batch, micro-batches, real-time data streaming) across Hadoop, RDBMSs, NoSQL (MongoDB / Hbase / Cassandra) and Data Warehousing hosted on premise as well as on cloud platforms (AWS / Azure) (at enterprise scale with at least one end to end implementation.
Experience optimizing web applications (CDN, Code compression)
Big Plus + : (these will give a good chance of getting hired)
Passion for development of test automation tools.
Self-starter, independent and with ability to come up with solutions to complex problems.
Experience with improving inventing or proving the value of new algorithms that improve a product's capabilities, speed, efficiency and reliability
Base Requirements (must have to be considered) :
Fulltime Bachelor and / or Master Degree in engineering (B.E. / B.Tech / M.E. / M.Tech)
AND RIGHT ATTITUDE.
CORE FIELD Experience Required : 1 yrs to 2 yrs