“Bilvantis” Openings for Python with Data Engineer

Job Title : Python with Data Engineer

Qualification: BE/B. Tech

Experience: 3 Years

Location: Hyderabad

Company Profile :

Our vision is to be the catalyst for customers by providing unique, best-in-class solutions and winning employees’ hearts by living the values and ethics. At Bilvantis, our mission is to leverage technology as a catalyst for change and an enabler to manage change.
Our goal is to leverage technology as a change tool and assist in managing transitions effectively. As your trusted technology partner, we collaborate with you to maximize emerging technology and improve business sustainability and growth. We provide flexible, cost-effective services to enhance business performance and drive transformational journeys. With our extensive domain expertise, practical experience, and industry best practices, we offer strategic guidance and an undeniable competitive advantage.

Responsibilities/Skills :

• BS/MS degree in Computer Science, Engineering or a related subject or equivalent experience.

• Data integration and good understanding of ETL, data warehousing and data mart concepts.

• Solid understanding of relational databases and SQL

• Working with technologies such as HTML, CSS and JavaScript

• Git or other version control tools

• RESTful API design and integrations

• Automation and continuous integration

• Agile environment and testing frameworks (eg. unit test/pytest)

• Comfortable with basic shell scripting in a Unix environment

• Development with Celery or experience with pub/sub pattern (ie. RabbitMQ)

• Knowledge of AWS or similar cloud computing platforms

• ORM Implementation (SQL Alchemy)

Skills:

• Will be required to write “clean”, well designed code.

• Produce detailed specifications.

• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality.

• Contribute in all phases of the development lifecycle, including participating in Pull Request process for peer code review.

• Follow industry best practices.

• Develop and deploy new features using Agile and similar methodologies.

• Support production processing by troubleshooting and resolving issues that arise around data processing, performance and set-up.

• Develop and maintain the software responsible for the manipulation of data including parsing, matching loading and publishing. streamline, introduce efficiencies, eliminate errors and increase accuracy.

• Design, develop and maintain efficient and robust ETL workflows which produce data extracts and process feeds between various internal and third party partners.

 

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