Data Engineer (Real‑Time Stream) (225-824)

A Data Engineer specializing in Real-Time Stream is tasked with the critical role of designing, building, and maintaining scalable data pipelines that enable the real-time processing and analysis of streaming data. This position is integral to businesses that rely on instantaneous data insights to drive decisions, improve operations, and enhance customer experiences. As a vital member of the technology team, a Data Engineer in this field works closely with data scientists, analysts, and software engineers to implement robust data solutions that support a variety of analytics and machine learning projects. The ideal candidate should be adept at handling large volumes of data from various sources, ensuring data quality, and optimizing data flow. Their work substantially contributes to the dynamic capabilities of the organization, allowing it to adapt quickly to emerging data trends and business needs.

Responsibilities

• Design and develop real-time data processing systems to support business operations.
• Build and maintain scalable data pipelines to process streaming data efficiently.
• Collaborate with data scientists and analysts to accommodate analytical requirements.
• Optimize performance of data processing systems to improve speed and reliability.
• Ensure data quality and consistency across various data sources and systems.
• Monitor and troubleshoot data pipeline issues to maintain seamless operations.
• Integrate streaming data platforms with enterprise data architecture and frameworks.
• Implement data governance and security policies to protect sensitive information.
• Stay updated with emerging technologies and tools in real-time data processing.
• Contribute to the continuous improvement of data engineering practices and methodologies.
• Document all processes and pipelines to maintain a thorough engineering knowledge base.
• Mentor junior engineers in best practices for real-time data engineering projects.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Proven experience in data engineering, particularly with real-time streaming data.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with streaming platforms like Apache Kafka, Flink, or Apache Storm.
• Strong understanding of data pipelines, ETL processes, and data warehousing solutions.
• Knowledge of cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Excellent problem-solving skills and ability to work under tight deadlines.