Data Platform Engineer III

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Mozn

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $10M Series A on 2022-02

Consulting • Healthcare • Logistics

Mozn is a regional AI company building Arabic-native generative AI and enterprise AI platforms. It provides OSOS (an Arabic-first GenAI platform), FOCAL (a financial-crime and fraud detection platform), and customized AI solutions spanning language intelligence, risk intelligence, operational AI, data management, geospatial intelligence, and AI centers. Mozn focuses on serving enterprise customers in the MENA region (including healthcare, finance, and government) with SaaS products and tailored AI services that prioritize cultural relevance, data security, and regulatory compliance.

📋 Description

• Design, deploy, operate, and optimize large-scale data platforms for 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 including StarRocks, ClickHouse, Apache Doris, or similar OLAP platforms • Design scalable Kafka architectures covering topics, partitions, replication, consumer groups, and streaming pipelines • Administer MySQL and PostgreSQL clusters, including replication, backup, recovery, disaster recovery, and performance tuning • Optimize distributed query performance, storage layouts, indexing strategies, and data lifecycle management • Support large-scale ingestion, transformation, and analytical workloads while ensuring reliability and scalability • Design and operate streaming and real-time data platforms using Kafka, Flink, Spark, or similar technologies • Optimize distributed systems for throughput, latency, scalability, and resilience • Troubleshoot complex issues across distributed databases, messaging systems, and data processing pipelines • Collaborate with Data Engineering, Analytics, and Data Science teams • Automate provisioning, deployment, upgrades, scaling, and lifecycle management of data platforms • Build self-service capabilities for engineering teams • Improve observability, monitoring, reliability, and operational excellence across the data platform

🎯 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 environments • Strong experience building ETL/ELT pipelines • Hands-on experience with StarRocks, ClickHouse, Apache Doris, or similar OLAP databases • Experience with Kafka, Flink, Spark Streaming, or Kafka Streams • Strong SQL optimization and database performance tuning experience • Experience with CDC technologies such as Debezium or Kafka Connect • Kubernetes experience deploying and operating stateful data workloads • Experience with AWS, GCP, OCI, or Azure • Experience with Terraform, Helm, GitOps, and automation frameworks • Strong scripting skills in Python, Bash, or Go • Experience with Prometheus, Grafana, ELK/OpenSearch, or LGTM • Preferred: Apache Iceberg, Delta Lake, or Apache Hudi • Preferred: Trino, Presto, Pinot, or Druid • Preferred: supporting Data Science and Analytics platforms • Preferred: designing modern data lakehouse architectures • Preferred: contributions to open-source data platform technologies • Cloud, Kubernetes, Kafka, or Database certifications are a plus

🏖️ Benefits

• Competitive compensation • Top-tier health insurance • Enabling culture • Freedom and responsibility in the role • Fun and dynamic workplace • Working alongside leading AI professionals • Inclusive and empowering workplace culture