Data Engineer

Posted 13 days agoViewed

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💎 Seniority level: Middle, 3+ years

📍 Location: Brazil, Argentina, Uruguay, Paraguay, Mexico

🔍 Industry: Software Development

🏢 Company: Foxbox Digital👥 51-100 Android iOS Web Development Mobile Apps Web Design Software

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSDockerPythonSQLETLGCPHadoopKafkaKubernetesAirflowAzureData engineeringNosqlSparkCI/CDData modeling

Requirements:

3+ years of hands-on experience in data engineering, building ETL/ELT pipelines, and managing data workflows in a production environment.
Proficient in Python or Java for data processing.
Familiar with SQL and NoSQL databases.
Experience with cloud-based data solutions (AWS, Azure, or GCP).
Knowledge of distributed data processing (e.g., Spark, Hadoop, Databricks).
Understanding of containerization (e.g., Docker) and orchestration (e.g., Kubernetes) is a plus.
Experience with Airflow, Kafka, or Azure Data Factory is preferred.
Familiarity with CI/CD practices and Git-based workflows is preferred.
Exposure to MLOps tools like MLflow or Kubeflow is a plus.

Responsibilities:

Build and maintain scalable ETL/ELT pipelines, transforming raw data into ready-to-use datasets for machine learning.
Connect to various data sources (e.g., Quickbase, REST APIs, databases) and ensure seamless data ingestion.
Implement validation rules, data profiling, and monitoring to maintain high data integrity.
Work with data scientists and MLOps engineers to optimize data workflows, improve model performance, and address bottlenecks.
Identify and resolve issues around data throughput and latency, ensuring pipelines can handle production-level loads.
Enforce data privacy best practices and role-based access control in accordance with project or regulatory requirements.
Set up alerts, logs, and metrics to proactively detect and resolve pipeline or data-related issues.

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