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Data Platform Engineer III

2 weeks, 3 days ago
Egypt
Full-time
Senior
Data Engineer
Software Development
Apache Spark AWS Azure Bash ClickHouse Druid Flink GCP GitOps Go Grafana Helm Kafka Kubernetes MySQL OpenSearch PostgreSQL Presto Prometheus Python SQL Terraform Trino
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Mozn

Mozn

MOZN is an enterprise AI company that has helped 100+ organizations make critical and informed decisions through specialized AI, in two key areas: Financial Crime Prevention and Enterprise Knowledge Intelligence

Internet Software & Services
51-250
View All Jobs 2

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 such as StarRocks, ClickHouse, or Apache Doris.
  • Design scalable Kafka architectures, including 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.
  • Design and operate streaming and real-time data platforms using Kafka, Flink, Spark, or similar technologies.
  • Troubleshoot complex issues across distributed databases, messaging systems, and data processing pipelines.
  • Automate provisioning, deployment, upgrades, scaling, and lifecycle management of data platforms.
  • Build self-service capabilities and improve observability, monitoring, reliability, and operational excellence.
  • Collaborate with Data Engineering, Analytics, and Data Science teams to deliver reliable platform capabilities.

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 streaming platforms such as 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 observability platforms such as Prometheus, Grafana, ELK/OpenSearch, or LGTM.
  • Experience with Apache Iceberg, Delta Lake, or Apache Hudi (preferred).
  • Experience with Trino, Presto, Pinot, or Druid (preferred).
  • Experience supporting Data Science and Analytics platforms (preferred).
  • Experience designing modern data lakehouse architectures (preferred).
  • Contributions to open-source data platform technologies (preferred).
  • Cloud, Kubernetes, Kafka, or Database certifications are a plus.

Benefits

  • Competitive compensation.
  • Top-tier health insurance.
  • An enabling culture with significant autonomy and trust.
  • Opportunity to work in a high-growth, exciting space in the Middle East.
  • A fun and dynamic workplace alongside leading minds in AI.
  • A culture that embraces difference and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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