Job Summary
The Real-Time Data Engineer is responsible for developing and maintaining data pipelines that enable the organization to leverage real-time data for decision-making. The role involves working closely with various teams to ensure high data quality and availability, focusing on systems that require immediate data processing and analysis.
Responsibilities
- Design and implement robust real-time data processing architectures.
- Collaborate with data scientists and analysts to understand data requirements.
- Ensure the scalability and performance of data pipelines.
- Monitor data flows and troubleshoot issues as they arise.
- Optimize existing data infrastructure for efficiency and effectiveness.
- Document technical processes and data workflows for future reference.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Experience with real-time data processing technologies such as Apache Kafka, Spark Streaming, or similar frameworks.
- Proficient in programming languages relevant to data engineering, including Python, Java, or Scala.
- Strong understanding of database systems and data modeling.
- Ability to work effectively in a team-oriented, collaborative environment.
