Java
Go Programming (Golang)
NodeJS (Node.js)
Python
RedisRole & Responsibilities
Lead and mentor a team of data engineers, ensuring high performance and career growth.
Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
Drive the development and implementation of data governance frameworks and best practices.
Work closely with cross-functional teams to define and execute a data roadmap.
Optimize data processing workflows for performance and cost efficiency.
Ensure data security, compliance, and quality across all data platforms.
Foster a culture of innovation and technical excellence within the data team.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Java
Javascript● You will work on developing new features in the product and modifying existing features to make logical harmony with new ones.
● Implementing design through code and testing with WB cases. Fixing issues in existing components. Participating in code reviews and reviews of WB cases.
● Preparing documentation required for product and deployment. Participating in build cycles and release processes. Participating in testing drives when necessary.
Keyskills Required:-
● Can learn fast and apply gained knowledge to solve practical problems. A hacker by mind and artist when it comes to design and coding.
● You should be fast learning on job JDBC, Apache Commons, Google APIs for Java, LDAP, Apache Logging, Lucene, Quartz Scheduler, Struts, XML, Bootstrap, JQuery, KnockoutJS, Cryptography libraries, Spring Framework.
AngularJS (1.x)
Angular (2+)
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MongoDBScoutflo is a platform that automates complex infrastructure requirements for Kubernetes Infrastructure.
Job Description:
- In-depth knowledge of full-stack development principles and best practices.
- Expertise in building web applications with strong proficiency in languages like
- Node.js, React, and Go.
- Experience developing and consuming RESTful & gRPC API Protocols.
- Familiarity with CI/CD workflows and DevOps processes.
- Solid understanding of cloud platforms and container orchestration
- technologies
- Experience with Kubernetes pipelines and workflows using tools like Argo CD.
- Experience with designing and building user-friendly interfaces.
- Excellent understanding of distributed systems, databases, and APIs.
- A passion for writing clean, maintainable, and well-documented code.
- Strong problem-solving skills and the ability to work independently as well as
- collaboratively.
- Excellent communication and interpersonal skills.
- Experience with building self-serve platforms or user onboarding experiences.
- Familiarity with Infrastructure as Code (IaC) tools like Terraform.
- A strong understanding of security best practices for Kubernetes deployments.
- Grasp on setting up Network Architecture for distributed systems.
Must have:
1) Experience with managing Infrastructure on AWS/GCP or Azure
2) Managed Infrastructure on Kubernetes
Data AnalyticsPythonWe are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.
Tools familiarity: SQL, Python, Mix panel, Metabase, Google Analytics, Clever Tap, App Analytics
Responsibilities
- Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
- Metrics alignment across teams to make them actionable and promote accountability
- Data based frameworks for assessing and strengthening Product Market Fit
- Identify viable growth strategies through data and experimentation
- Experimentation for product optimisation and understanding user behaviour
- Structured approach towards deriving user insights, answer questions using data
- This person needs to closely work with Technical and Business teams to get this implemented.
Skills
- 4 to 6 years at a relevant role in data analytics in a Product Oriented company
- Highly organised, technically sound & good at communication
- Ability to handle & build for cross functional data requirements / interactions with teams
- Great with Python, SQL
- Can build, mentor a team
- Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE
Eligibility
BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges
Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.
We are more interested in what you CAN DO than your location, education, or experience levels.
Send us your code samples / GitHub profile / published articles if applicable.
Vue.jsAngularJS (1.x)Angular (2+)React.jsJavascriptJob description
The ideal candidate must have extensive development experience of microservices using Java Spring Boot. In addition, they should know the installation, configuration, platform operations, and troubleshooting of API products. Besides, they should also have experience in API design, BaaS, Advanced proxies, Analytics, Developer Portal, and creating RESTful API patterns.
Responsibility
Develop and design RESTful microservices and APIs
Be involved in the development life cycle and would be doing definition and feasibility analysis
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Skillset
Bachelor’s/Master’s degree in computer science, information technology, or engineering
At least 3-5+ years of experience in developing APIs and microservices using Spring Boot
Expertise in Java
Hands-on Experience in OOPS concepts, Spring Boot, Spring 3.x, Spring Dependency Injection (IOC, MVC, JDBC, JMS, etc.), and hibernate or any other ORMs
Hands-on experience in web services-RESTful
Knowledge of Restful API design patterns
Working knowledge in Databases (SQL Server, Oracle) and SQL
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Hands-on experience in setting up MTLS between microservices
Hands-on experience in docker implementation
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Onsite - Bahrain
Location : Una Diu
Python
Django
Machine Learning (ML)Positions : 2-3
CTC Offering : 40,000 to 55,000/month
Job Location: Remote for 6-12 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
Minimum 1.5 to 2 years of experience in Web & Backend Development using Python and Django with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework and DRF
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
8. Hands on experience with RDBMS such as Postgres or MySQL
9. Comfort with Git repositories, branching and deployment using Git
10. Working experience with Docker
11. Basic working knowledge of ReactJs
12. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes :
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to provide optimal deliveries on time
9. Writing Scalable, maintainable code
10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
13. Bug fixing issues as reported by the QA team
14. Optimization and performance tuning of code
Bonus but not mandatory
1. Nodejs
2. Redis
3. PHP
4. CI/CD
5. AWS
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon