Data Engineer

Requirements

• Bachelor's degree in computer science, engineering, mathematics, or related field.
• Experience with big data technologies such as Hadoop, Spark, or Apache Kafka.
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of database technologies and data modeling principles.
• Experience with data pipeline and ETL (Extract, Transform, Load) processes.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving skills and attention to detail.
• Experience in data engineering or related roles.

Responsibilities

• Designing, building, and maintaining scalable data pipelines and infrastructure.
• Developing and implementing data integration solutions to support business needs.
• Optimizing data workflows for efficiency and scalability.
• Collaborating with data scientists and analysts to provide access to quality data.
• Ensuring data quality, integrity, and security across the data lifecycle.
• Monitoring and troubleshooting data pipelines and systems.
• Willing to work in a hybrid environment.