Sales Executive

This is a full-time on-site role for a Full Stack Developer, located in Bengaluru. The Back End Developer will be responsible for designing, developing, and maintaining the server-side of web & app applications. 

- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques

- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions

- Must have hands-on and strong experience in Python

- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning

- Strong analytical & algorithm development skills

- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc

- Ability to collaborate across teams and strong interpersonal skills

Skills

- Sound theoretical knowledge in ML algorithm and their application

- Hands-on experience in statistical modeling tools such as R, Python, and SQL

- Hands-on experience in Machine learning/data science

- Strong knowledge of statistics

- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc

- Experience in Natural Language Processing & Deep Learning techniques 

- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow

What you’ll do:

• Work closely with the founders and the team to plan, design, and build the next iterations of Dyte’s video-audio APIs.
• You will collaborate closely with other engineers of the team and lend your help in your areas of expertise.
• Build micro-services to support new functionality.
• Build best practices to improve the current API workflow.
• Help us scale our current micro-service framework to support a multi cloud, multi region environment.
• Work closely with the media and the infra team to optimise the performance and reduce the latency of our API framework.
• Help design and develop the next iteration of our observability platform.
• Mentor and hire Junior Developers.
• Ensure that our customer’s experience is the best it can be. You might have to interact with the dev team of our clients.

Who you are:

• 5+ years of experience working as a software engineer in a fast paced environment.
•  Well versed with Golang or Javascript.
• You are intensely curious and passionate about the prospect of diving deep into multiple technologies, platforms, and problem spaces, even if they are currently unfamiliar.
• You embrace uncertainty. Our space is a rapidly growing one and specifications are continuously changing.
• You care about the user experience and know-how to build user-friendly web applications.
• You have experience with continuous delivery. Experience with AWS is a bonus.
• You have a working understanding of object-oriented and functional programming paradigms.
• You care about web technologies, exploring data, and software design (and video calls!).
• You have excellent analytical and problem-solving skills, and can communicate your ideas.
• Experience with WebRTC, iOS, Android, or C++ development is a bonus.
• A degree in Computer Science or a similar area are bonuses.

Our Perks:

1. Competitive Salary
2. ESOPs
3. Medical Insurances
4. Friendly leaves policy
5. 100% Remote Option

Job Description:

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

• Programming experience : 5 to 8 years of programming experience
• Strong technical knowledge in any of the following programming languages : Ruby on Rails /Python/Java and willing to learn and work in Node.js.
• Good Programming aptitude
• Have experience designing and building large scalable web services.
• Have an in-depth understanding of database technologies (SQL and NoSQL) 
• Have experience building RESTful APIs and have good knowledge of RESTful design patterns.
• Be able to communicate and work well within a team
• Brownie points if you have worked on Typescript & Nest.js