PythonJob Description - Data Engineer
About us
Propellor is aimed at bringing Marketing Analytics and other Business Workflows to the Cloud ecosystem. We work with International Clients to make their Analytics ambitions come true, by deploying the latest tech stack and data science and engineering methods, making their business data insightful and actionable.
What is the role?
This team is responsible for building a Data Platform for many different units. This platform will be built on Cloud and therefore in this role, the individual will be organizing and orchestrating different data sources, and
giving recommendations on the services that fulfil goals based on the type of data
Qualifications:
• Experience with Python, SQL, Spark
• Knowledge/notions of JavaScript
• Knowledge of data processing, data modeling, and algorithms
• Strong in data, software, and system design patterns and architecture
• API building and maintaining
• Strong soft skills, communication
Nice to have:
• Experience with cloud: Google Cloud Platform, AWS, Azure
• Knowledge of Google Analytics 360 and/or GA4.
Key Responsibilities
• Work on the core backend and ensure it meets the performance benchmarks.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
Key Responsibilities
• Design and develop platform based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• Work on the front end with ReactJS.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
What are we looking for?
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.
• Education - BE/MCA or equivalent.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open-source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, DynamoDB.
• Good experience with Front-end technologies like ReactJS.
• Backend exposure – good knowledge of building API.
• Worked on serverless technologies.
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for the functional/technical track of a project.
Whom will you work with?
You will closely work with the engineering team and support the Product Team.
Hiring Process includes :
a. Written Test on Python and SQL
b. 2 - 3 rounds of Interviews
Immediate Joiners will be preferred
Shubham Vishwakarma
Full Stack Developer - Averlon
About Propellor.ai
About
Who we are
At Propellor, we are passionate about solving Data Unification challenges faced by our clients. We build solutions using the latest tech stack. We believe all solutions lie in the congruence of Business, Technology, and Data Science. Combining the 3, our team of young Data professionals solves some real-world problems. Here's what we live by:
Skin in the game
We believe that Individual and Collective success orientations both propel us ahead.
Cross Fertility
Borrowing from and building on one another’s varied perspectives means we are always viewing business problems with a fresh lens.
Sub 25's
A bunch of young turks, who keep our explorer mindset alive and kicking.
Future-proofing
Keeping an eye ahead, we are upskilling constantly, staying relevant at any given point in time.
Tech Agile
Tech changes quickly. Whatever your stack, we adapt speedily and easily.
If you are evaluating us to be your next employer, we urge you to read more about our team and culture here: https://bit.ly/3ExSNA2. We assure you, it's worth a read!
Tech stack
Python
Machine Learning (ML)Company video
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