Real-Time Analytics Specialist

1 week ago

Makkah, Makkah Province, Saudi Arabia Salla E-Commerce Platform Full time

Salla E-Commerce Platform is seeking a skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and optimizing our data pipelines and analytics infrastructure.

About the Role:
  • Design and develop highly scalable data pipelines for real-time and batch processing
  • Build and optimize data systems to support accurate, low-latency analytics and reporting use cases
  • Develop and maintain solutions for streaming and serverless data processing
  • Collaborate with cross-functional teams to implement and support end-to-end analytics workflows
  • Ensure data quality, reliability, and performance across the platform
  • Monitor, troubleshoot, and optimize data infrastructure to maintain high availability
  • Mentor junior engineers and contribute to the continuous improvement of engineering practices
Requirements:
  • 5+ years of experience in data engineering or related fields
  • Strong expertise in ClickHouse: experience in designing schemas and jobs, optimizing data ingestion as well as queries, managing clusters, etc.
  • Proven experience in real-time data processing and enrichment using tools like Apache Kafka, Apache Flink, Apache Spark Streaming, Serverless technologies like AWS Lambda, GCP Functions, etc.
  • Deep understanding of Distributed systems architecture and design, with a focus on scalability and resilience, especially in relation to data processing
  • Proficiency in programming languages like Python or Java
  • Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure)
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes
  • Strong problem-solving skills and ability to work in a fast-paced environment
  • Excellent communication and collaboration skills, with a demonstrated ability to work effectively as part of a team
Preferred Qualifications:
  • Experience in the e-commerce industry or similar high-traffic, data-intensive environments would be a big plus
  • Knowledge of ETL/ELT tools like Airflow, dbt, or equivalent
  • Familiarity with monitoring and observability tools for data systems (e.g., Prometheus, Grafana)

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