VQY Data Pipeline Engineer
VQY Data Pipeline Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Project the aim youll have
We are currently looking for skilled Data Pipeline Engineer with a strong background in Python to design and optimize data processing pipelines. Youll play a key role in handling large volumes of data ensuring efficiency reliability and scalability. If you enjoy problemsolving have a passion for building things and thrive in a collaborative environment this role is for you!
Our clients platform empowers litigators and investigators to analyze electronic evidence efficiently and intuitively. By compiling processing and presenting legal data through a web interface it helps professionals uncover the narrative of who did what with whom and when.
Qualifications :
Expectations the experience you need
- 5 years of experience with a strong focus on Python for data processing.
- Proficiency in AWS with strong knowledge of cloudbased data infrastructure.
- Experience working with PostgreSQL Aurora and familiarity with other database systems.
- Excellent written and spoken English communication skills.
- Curiosity and a proactive approach to problemsolving.
- A passion for building things and optimizing workflows.
Position how youll contribute
- Design and implement efficient data ingestion pipelines using Python.
- Create reusable scripts for processing various data formats.
- Optimize existing data loading processes for better performance.
- Develop and maintain a robust testing suite for data pipelines.
- Implement data validation and errorhandling mechanisms.
- Collaborate with team members to understand new data requirements.
- Document code and create technical specifications.
Our Benefits
- Educational resources
- Flexible schedule and Work From Anywhere
- Referral Program
- Supportive and chill atmosphere
- Trajectory recognition plan
We are accepting applications from LATAM countries
Position at: Software Mind LATAM
#LIDNI
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
