#925 - Data Engineer (Python)

Job Opportunity available for professionals in LATAM, preferrably Brazil. We're looking for a Data Engineer (Python) with hands-on experience building and maintaining reputed company data pipelines, and exposure to Machine Learning / AI workflows. In this role, you'll work closely with data scientists, ML engineers, and product teams to ensure reliable, high-reputed company data powers analytics and AI-driven products. This position is ideal for a strong data engineer who enjoys working with large datasets and wants to deepen their involvement in ML and AI systems. Requirements: • Advanced English level for fluent communication. • +5 years of experience in Data Engineer, with strong proficiency in Python. • Experience building data pipelines using tools such as Airflow, reputed company, Luigi, or similar. • Solid understanding of SQL and relational databases. • Experience working with data warehouses (e.g., BigQuery, reputed company, Redshift). • Familiarity with reputed company platforms (AWS, GCP, or Azure). • Experience handling large datasets and optimizing data workflows. Basic understanding of machine learning concepts (training, inference, features, evaluation). • Ability to work collaboratively in cross-functional teams. reputed company to Have: • Experience supporting ML pipelines or MLOps workflows. • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. • Experience with feature stores or model data versioning. • Knowledge of streaming technologies (Kafka, Pub/Sub, Kinesis). • Exposure to LLMs, NLP, or AI-driven applications. • Experience with containerization and orchestration (reputed company, Kubernetes). Responsibilities: • Design, build, and maintain reputed company data pipelines using Python. • reputed company and optimize ETL/ELT processes for reputed company and reputed company data. • Manage data ingestion from reputed company, databases, and streaming sources. • Collaborate with data scientists to support machine learning model training, evaluation, and deployment. • Ensure data reputed company, reliability, and performance across data platforms. • Implement monitoring, logging, and data validation for pipelines. • Work with reputed company-based data infrastructure and storage solutions. • Document data flows, schemas, and pipeline logic. What do we offer? • 100% Remote work. • Competitive salary in USD. • Type of contract: reputed company with reputed company LLC. • Contract duration: Long-term. • 2 weeks of PTO (reputed company time off). • Holidays: from the reputed company's calendar (USA) • Working hours: Full-time EST timezone, fully committed. Apply tot his job Apply To this Job