Data Engineer

AccelOne

full-time

Posted on: 9/10/2025

Origin: • 🇦🇷 Argentina

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Mid-LevelSenior

ApacheAWSETLGrafanaKafkaLinuxMySQLNumpyPandasPythonSQL

About the role

Design, build, and maintain scalable real-time and batch data pipelines using Kafka, AWS, and Python.
Develop event-driven data workflows leveraging Kafka topics, Lambda functions, and downstream sinks (Snowflake, S3).
Build and maintain robust ETL processes across Snowflake and MySQL.
Ensure high-quality data delivery by writing modular, well-tested Python code.
Monitor pipelines using CloudWatch, Grafana, or custom metrics.
Contribute to technical design, architectural reviews, and infrastructure improvements.
Maintain data integrity and scalability in high-volume environments.
Collaborate with cross-functional teams to create reliable data products that support advanced analytics and personalization.
Continuously explore and implement best practices in data engineering, streaming, and analytics infrastructure.

4+ years of experience as a Data Engineer in a production environment.
Fluency in Python with strong experience in a Linux environment.
Strong SQL skills, with hands-on experience in Snowflake and MySQL.
Solid understanding of data modeling, schema design, and performance optimization.
Proficiency with Python data libraries: NumPy, Pandas, SciPy.
Experience building and maintaining real-time pipelines with Kafka (Apache Kafka or AWS MSK).
Familiarity with AWS services: Lambda, Kinesis, S3, CloudWatch.
Experience with event-driven architectures and streaming data patterns.
Knowledge of RESTful APIs, data integration, and Git workflows.
Comfortable in Agile environments with strong testing and code review practices.
Preferred: Experience with large-scale streaming data systems; exposure to performance monitoring and debugging tools; familiarity with infrastructure-as-code and CI/CD pipelines.