What you'll do:

• Support and maintain data pipelines for online systems, ensuring reliability and efficiency.
• Troubleshoot issues related to data ingestion, transformation, and delivery.
• Monitor job performances and proactively address any anomalies or bottlenecks.
• Collaborate with cross-functional teams to optimize data pipeline architecture and performance.
• Document processes, configurations, and troubleshooting steps.

What makes you a great fit:

• Solid background in data engineering principles and practices.
• Proficiency in Spark for large-scale data processing.
• Experience with programming languages such as Java, Scala, and Python is mandatory.
• Ability to diagnose and resolve technical issues in a timely manner.
• Familiarity with job monitoring tools and techniques.
• 2-5 years of experience in supporting data pipelines for online systems.
• Excellent communication skills and ability to work in a collaborative environment.
• Proven problem-solving abilities and attention to detail.