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Data Platform Engineer III

1 hour, 15 minutes 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
Apply Now
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

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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