Data Platform Engineer III

Mozn
Cairo
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 4-7 yearsSkills: ["Collaboration","Problem-solving","Operational excellence","Reliability focus","Automation mindset"]

Design, deploy, and operate large-scale data platforms that power transactional and analytical workloads, including reliable batch and real-time ETL/ELT pipelines and CDC using Debezium/Kafka Connect. Build and optimize OLAP analytical databases (StarRocks, ClickHouse, Apache Doris), scalable Kafka streaming architectures, and distributed processing with Flink/Spark. Automate provisioning and lifecycle management, improve observability and operational excellence, and partner with Data Engineering, Analytics, and Data Science teams.

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FursaFursa
Mozn
Mozn
3 weeks ago

Data Platform Engineer III

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Last checked: Just nowStatus: Live

Job Summary

Design, deploy, and operate large-scale data platforms that power transactional and analytical workloads, including reliable batch and real-time ETL/ELT pipelines and CDC using Debezium/Kafka Connect. Build and optimize OLAP analytical databases (StarRocks, ClickHouse, Apache Doris), scalable Kafka streaming architectures, and distributed processing with Flink/Spark. Automate provisioning and lifecycle management, improve observability and operational excellence, and partner with Data Engineering, Analytics, and Data Science teams.
Location: Cairo
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, deploy, operate, and optimize large-scale data platforms supporting transactional and analytical workloads.
  • •Build and maintain reliable batch and real-time ETL/ELT pipelines.
  • •Design and operate CDC platforms using Debezium, Kafka Connect, or similar technologies.
  • •Deploy, operate, and optimize analytical databases such as StarRocks and ClickHouse (and similar OLAP platforms).
  • •Automate provisioning, deployment, upgrades, scaling, and lifecycle management, improving observability and reliability.

Pay and Benefits

Perks:Health Insurance

Key Requirements

  • •4-7 years of experience in Data Platform Engineering, Database Engineering, Platform Engineering, or Data Infrastructure.
  • •Strong production experience with MySQL and PostgreSQL.
  • •Deep expertise operating Kafka in production and building ETL/ELT pipelines.
  • •Hands-on experience with StarRocks, ClickHouse, Apache Doris, or similar OLAP databases and strong SQL optimization/performance tuning.
  • •Experience with CDC (Debezium or Kafka Connect), Kubernetes for stateful workloads, and cloud platforms (AWS, GCP, OCI, or Azure).
Experience:4-7 yearsData engineeringData infrastructureEnterprise AIReal-time dataCloud-native
Skills:CollaborationProblem-solvingOperational excellenceReliability focusAutomation mindset
Tech Stack:MySQLPostgreSQLKafkaETLELTDebeziumKafka ConnectStarRocksClickHouseApache DorisOLAPFlinkSparkKubernetesAWSGCPOCIAzureTerraformHelm

Company Brief

Mozn
Builds enterprise AI products and data platforms that help organizations automate decision-making, improve risk management, and extract insights from large datasets. The company focuses on applied machine learning for regulated and data-intensive industries.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Riyadh, Saudi Arabia
Founded: 2017
WebsiteLinkedIn