Description

You will build and maintain scalable data pipelines, infrastructure, and workflows for real-time and batch processing.

Responsibilities

• Collaborate with full stack engineers, data scientists, and DevOps to implement scalable data pipelines.
• Develop and support data models, schemas, and database structures optimized for analytics performance.
• Implement data quality checks and monitoring mechanisms to ensure integrity and accuracy.
• Control, monitor, and optimize worldwide production servers to resolve bottlenecks and maintain availability.
• Mentor junior data engineers and introduce new tools and best practices to improve data infrastructure.

Required Skills

• 4+ years of hands-on experience as a Data Engineer delivering complex projects.
• Proficiency in Python, Java, or Scala for building scalable systems.
• Experience with cloud-based platforms such as AWS, Azure, or GCP.
• Hands-on experience with containerization using Docker and orchestration via Kubernetes.
• Solid knowledge of Linux environments.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with data engineering frameworks including Kafka, Cloudera, Spark, Airflow, or Hadoop.

Key Skills

Education

Bachelor’s Degree