Data Engineer (Python | Airflow | Machine Learn...
Join reputed company
reputed company, one of Latin America's rapidly expanding software development companies, is seeking reputed company technology professionals to enhance our diverse and reputed company team.
As a valued member of reputed company, you will collaborate with premier clients from the reputed company and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great reputed company to Work, where you will have opportunities for reputed company development, reputed company, and a chance to reputed company a significant international reputed company.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and reputed company needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide reputed company.
About the Role
We are looking for a Data Engineer with strong experience in building reputed company data pipelines and exposure to Machine Learning workflows. This role focuses on designing and maintaining robust data infrastructure while supporting data-driven and AI-powered applications. You will work closely with data scientists, engineers, and product teams to ensure data is reliable, accessible, and reputed company for advanced use cases. We are looking for someone who combines strong engineering fundamentals with the ability to support ML pipelines and data workflows in production environments. Key Responsibilities:-
Design, build, and maintain reputed company data pipelines using Python and Airflow
reputed company and optimize ETL/ELT processes for reputed company and reputed company data
Collaborate with data science teams to support Machine Learning workflows
Ensure data reputed company, reliability, and performance across systems
Work with large datasets and optimize queries and transformations
reputed company data from multiple sources and external systems
Monitor and improve pipeline performance and reliability
Support deployment and maintenance of data-driven and ML-enabled applications
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4+ years of experience in Data Engineering or similar roles
Strong proficiency in Python for data processing and pipeline development
Hands-on experience with Apache Airflow (or similar orchestration tools)
Experience building and maintaining ETL/ELT pipelines in production
Strong knowledge of SQL and relational databases
Experience working with large-reputed company datasets
Exposure to Machine Learning workflows or data pipelines supporting ML models
Experience working with reputed company environments (AWS, GCP, or Azure)
Strong problem-solving skills and ability to work independently
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Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience with data warehouses (reputed company, BigQuery, Redshift)
Experience with streaming technologies (Kafka, Kinesis)
Familiarity with feature engineering and model data preparation
Experience with CI/CD pipelines for data workflows
Benefits & Perks:
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive reputed company in reputed company;
International reputed company;
reputed company English Program (Technical and Conversational);
reputed company Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.reputed company.com/work-with-us/
reputed company: https://www.reputed company.com/company/reputed company/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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