Python/Data Engineer in UATech People

Python Data Engineer
 

Our Client is a cutting-edge platform specializing in collaborative software development. With a focus on enabling remote teams to work seamlessly together, The platform provides robust tools that enhance productivity, streamline project management, and foster innovation across distributed teams. The platform supports agile methodologies, offering integrated solutions for code review, version control, and continuous integration/delivery (CI/CD).

Overview: The ideal candidate will have experience in asynchronous Python programming, data pipeline development, and a strong grasp of SQL and NoSQL databases. Knowledge of Google Cloud Platform (GCP) is essential, with additional front-end development skills being advantageous. If you thrive in a collaborative environment and are passionate about delivering robust, scalable solutions, we encourage you to apply.

Key Requirements:

• Python Expertise: Minimum 2 years of hands-on experience in Python programming, with proficiency in asynchronous programming concepts.
• Data Pipeline Experience: Proven track record in designing, building, and maintaining data pipelines for processing and transforming large datasets.
• SQL and NoSQL Proficiency: Strong SQL skills for querying and manipulating relational databases, along with experience in NoSQL databases for handling unstructured data.
• Google Cloud Platform (GCP): Practical experience with GCP services, such as BigQuery, Dataflow, and Pub/Sub, for implementing scalable data solutions.
• Optional Front-End Development: Familiarity with front-end technologies (HTML/CSS, JavaScript frameworks) would be beneficial for collaborating with UI/UX teams.

• SQLAlchemy Knowledge: Understanding or experience with SQLAlchemy for ORM (Object-Relational Mapping) in Python applications.

   

Desired Skills and Experience:

• Data Engineering Background: Prior experience in data engineering roles, focusing on optimizing data workflows and ensuring data quality.
• Front-End Development Exposure: Previous involvement in front-end development projects or collaboration with front-end teams.

• GCP Certification: Any relevant GCP certifications demonstrating proficiency in cloud-based data solutions.

   

Personal Attributes:

• Analytical Thinking: Ability to analyze complex data requirements and translate them into efficient technical solutions.
• Problem-Solving Skills: Strong problem-solving abilities to troubleshoot issues and optimize performance in data pipelines.

• Collaborative Mindset: Effective communicator and team player who can work collaboratively across functions and teams.

   

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field is preferred. Relevant industry certifications and ongoing professional development are advantageous.