Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines.

• Construct and enhance data processing solutions utilizing Python and Apache Spark.

• Create and support real-time data streaming applications using Kafka.

• Design and implement enterprise-level data solutions leveraging Snowflake.

• Develop cloud-native data architectures and services on AWS.

• Ensure data quality, reliability, scalability, and performance throughout the data ecosystem.

• Troubleshoot, monitor, and optimize production data pipelines.

• Engage in technical discussions, code reviews, and initiatives promoting engineering best practices.

• Collaborate with cross-functional teams to support data-driven business initiatives.

⛳️ Requirements

• At least 4 years of professional experience as a Data Engineer.

• Proficient experience in Python development.

• Practical experience with Apache Spark.

• Strong understanding of Snowflake.

• Experience in building and maintaining ETL/ELT pipelines.

• Familiarity with Apache Kafka and event-driven architectures.

• Experience with AWS cloud services.

• Knowledge of data modeling and data warehousing concepts.

• Excellent analytical, problem-solving, and communication skills.

• Ability to work efficiently in distributed teams.

• Upper-Intermediate English proficiency or higher.

🏝️ Benefits

• Options for remote work.

• Opportunities for professional growth.