Python SQL Engineer at Perform
Buenos Aires, Buenos Aires, Argentina -
Full Time


Start Date

Immediate

Expiry Date

30 Apr, 25

Salary

0.0

Posted On

31 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Angularjs, Mongodb, Redis, Data Processing, Normalization, Data Solutions, Data Engineering, Data Modeling, Computer Science, Information Technology, Database

Industry

Information Technology/IT

Description

We’re in search of a talented Python SQL Engineer to join our team, focusing on developing efficient data solutions and ensuring seamless integration with our systems. If you have a passion for coding, data management, and thrive in an innovative environment, we encourage you to apply.

REQUIRED SKILLS AND EXPERIENCE:

  • Proven experience as a Python Developer with expertise in SQL and database management systems (e.g., PostgreSQL, MySQL).
  • Strong proficiency in Python programming and libraries commonly used in data processing (e.g., Pandas, NumPy).
  • Experience with data modeling, normalization, and database schema design.
  • Familiarity with data pipeline and workflow management tools.
  • Strong problem-solving skills with the ability to troubleshoot and optimize code effectively.
  • Understanding of software version control systems, particularly Git.
  • Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud) is a plus.
  • Knowledge of NoSQL databases such as MongoDB or Redis is beneficial.
  • Knowledge of AngularJs is beneficial.

QUALIFICATIONS

  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
    Join us and push the boundaries of what can be achieved in data engineering. If you’re ready to contribute to impactful projects and grow in a forward-thinking company, we look forward to your application. Be part of our journey in leveraging data to drive business success and innovation
Responsibilities
  • Develop, test, and deploy efficient scripts and database solutions using Python and SQL to meet business needs.
  • Collaborate with data analysts and other stakeholders to gather requirements and optimize data processes.
  • Ensure data integrity, availability, and efficient ETL processes across various platforms.
  • Implement and manage database queries and scripts for data retrieval and reporting purposes.
  • Conduct performance tuning, actively monitor databases, and resolve related issues.
  • Participate in code reviews and provide technical guidance to junior engineers.
  • Create and maintain detailed technical documentation for scripts, queries, and procedures.
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