Details:
We are hiring a …
Full Stack Data Engineer. – Python, Machine Learning, Databases
What will you be working on?
At thinkbridge, you will be working as a Data Engineer on a wide variety of projects
that span across industries such as Fintech, HR recruitment software, IoT devices, and billing systems. We use Powerbi for the Analytics and reporting, SQL and NoSQL Databases to manage the influx of data. On the backend, the application uses Python with the REST API web framework to link it all up. The whole thing is built and managed on the AZURE cloud platform. GIT keeps track of THE code base, while JIRA forms the Agile development framework. Complex business problems involve studying, playing, and working with new and interesting machine learning algorithms.
Min. Qualification:
Who we are looking for?
- You are a problem solver who understands and refines the requirements, defines boundaries of the problem, research solutions, and executes the best.
- You can work remotely with clear goals, pull work, and communicate excellently.
- You work with minimal supervision and can estimate and deliver working software on time while keeping all relevant stakeholders in the loop.
- You are technically sound, with excellent debugging skills. You have in-depth knowledge of the tools you use and a breadth of understanding of the ecosystem.
- You learn continuously and share your knowledge and skills.
Technical Skills Exposure (At-least one in each category):
- Python Libraries: Numpy, Pandas, Matplot, Requests, …
- Machine Learning Frameworks: Scikit learn, Tensor flow, Azure ML, …
- Machine Learning Algorithms: Classification, NLP, Clustering, Anomaly detection, …
- Databases: PostgreSQL, MySQL, SQLite, MongoDB, SQL Server, CosmoDB, …
- Cloud Services: Azure, AWS, Google cloud, …
- Source Control: Git, Mercurial, TFS, Perforce, …
- Reporting and Analytics: PowerBi, Periscope, Sisense, Tableau, …
- IDEs: PyCharm, VS Code, Vim, Sublime Text, Spyder, …
- Environments: Virutalenv, Docker, Pip env, …
- Unit-Testing Frameworks: pytest, unittest, mock, …
Skills Required:
Python, Azure, NLP, Deep Learning
Roles:
What is expected of you?
As part of the job, you will be required to :-
- Read everything in detail that comes your way.
- Elicit, analyze, specify & validate business requirements.
- Define & Document the engineering requirements including architecture, components, usable interfaces & other characteristics.
- Place specific emphasis on technical and usability design.
- Code and verify the solution.
- Unit & integration test.
- Debug & squash bugs.
- Keep stakeholders informed.
- Keep up with the technology and the domain.