
1. Need to have an understanding of Elastic Search, Kafka, mongo DB, etc.
2. Should have experience of Jupter noobooks, data bricks
3. Java, Pythons
4. Senior level, 5-10 years of experience
5. It is important they have those skills so that they can take over current work. There are codes written in both Java as well as Python. (Java is legacy but that is the main search engine code). So it will be counter-productive if engineers hired have experience in both.
6. Excellent communication, analytical, research, grasping skills

Similar jobs
Strong Full stack/Backend engineer profile
Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
Mandatory (Company) : Product companies (B2B SaaS preferred)
Preferred
Preferred (Location) - Mumbai
Preferred (Skills) : Candidates with strong backend or full-stack experience in other languages/frameworks are welcome if fundamentals are strong
Preferred (Education) : B.Tech from Tier 1,Tier 2 institutes
Mandatory skills
Hands on Python Programming.5+ years of Data Engineering experience: Skills sets: Python, SQL (Snowflake), S3.
Good to have
AWS familiarity would help
Job Description: (Mandate Skills)
- Exceptional architecture and design skills using Object Oriented Programming concepts and Design patterns
- Strong problem solving and analytical skills
- Hands on Java Engineer, with experience building consumer facing or enterprise applications using Java stack
- Ability to manage small teams (2-4 members) using agile development process
Do You Know? (Skills good to have)
- Exposure to building service oriented distributed systems
- In building systems that process big data in a distributed environment, either in real time streaming or offline
- In messaging systems like Kafka, RabbitMQ, kinesis, etc.
- In real time computation tools like Storm / Spark or Hadoop based tools.
- In Data warehousing technologies like Redshift, BigQuery, etc.
We are looking for a Developer who is proficient with Node and has at least 1-3 years of relevant experience. Your primary role will be on developing microservices, while ensuring good coding practices and architecture. You will have end to end ownership of the services you develop, to ensure it is robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, and quality product is important.
Roles and Responsibilities
- Integrating and maintaining Node micro services
- Proficient in RESTful APIs and API communications, especially to consume data from and/or push data into MongoDB for Web and mobile applications
- Proficient on modeling applications on NOSQL databases(preferably MongoDB)
Desired Candidate Profile
- Strong coding experience in Node JS.
- Should have experience with microservice architecture
- Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement
Nice to have:
- Some experience with queues like like Redis,SQS,etc
- Experience with cloud solutions like Lambda, Docker etc
- Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
- Deploy server/related components to staging, live environments.
- Some exposure to React Frontend implementation, deeper JS skills
Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
Experince is 2 to 5 yrs and 5 + yrs (In-depth knowledge and hands on experience on Spring Boot & Java is mandatory
Solid understanding of OOPS concepts and design methodology - good to have Inheritance, aggregation, and composition
Experience with concepts of MVC, JDBC, and Restful API development
Familiarity with build tools such as Ant, Maven, Gradle, and Docker
Sprint BOOT/ MVC framework - Basics (understanding of various Spring Boot components), Spring Initializer, Spring Boot Starters, and Spring Boot Annotations & DevTools
REST and Microservices - Microservices Basics (Concepts, understanding of API Gateway, Service Registry, fault tolerance, load balancing, Config Server)
Creating database schemas that represent and support business processes, queries, and procedures
Proficient understanding of code versioning tools, such as (Git / Mercurial / SVN) and familiarity with Continuous integration and deployment
Job Responsibilities
Design and build from cloud-based products and services with massive scale and reliability Write clean and modular code primarily in Python to create multi tenant microservices Terabyte scale data per month with SLA end to end latency and tenant fairness
Build CICD based software development model with end-to-end ownership of code delivery - starting from design/architecture, coding, automated functional/integration testing and operating/monitoring the service in production.
Use relevant technologies and cloud services like Kafka, Redis, Mongo, RDS, Spark Streaming, Redshift, Airflow to build highly performant and scalable distributed systems
Design and develop data schema and access layer to optimally store and retrieve data
Stay up to date with the latest developments in cloud computing and incorporate relevant learnings to both product features and product architecture.
Preferred Qualifications
BS/Btech (Btech Preferred) in Computer Science, Computer Engineering, Information Technology
Preferred Technical Skills:
2- 6 years of software development experience with enterprise-grade software. Must have experience in building scalable, high-performance cloud services Expert coding skills in Python, Django
In Depth experience in AWS is mandatory
Expertise in building scalable event based asynchronous systems based on the microservices architecture
Experience working with docker and kubernetes
Experience with databases such as MongoDB, Redis, RDS, RDF, Graph DB, SPARQL etc. Experience with messaging technologies such as Kafka, Pulsar, SQS
Must have expertise in building REST APIs
Strong object-oriented designing and programming experience Experience in cloud object stores: S3, Cloud Storage, Blobs, etc. Desired Technical Skills:
Open source committer in related areas like cloud technologies, kubernetes, database etc Additional Skills
Great written and verbal communication
Ability to work geo distributed cross functional group









