Telecom Data Architect

9 hours ago

Muscat, Muscat, Oman beBeeData Full time $65,000 - $85,000

We are looking for an experienced Big Data Developer to join our team.

Job Description

As a Senior Big Data Engineer, you will be responsible for designing and implementing large-scale data pipelines using Apache Spark, Hive, and Python on Cloudera. You will also develop real-time data ingestion workflows using Kafka, tailored for telecom datasets (e.g., usage logs, CDRs). Additionally, you will manage job orchestration and scheduling using Oozie, with data access enabled via Hue and secured through Ranger.

You will ensure performance tuning, resource optimization, and high availability of the Cloudera platform. Furthermore, you will collaborate with data architects, engineers, and business stakeholders to deliver end-to-end solutions in a telecom context.

Required Skills & Qualifications

To succeed in this role, you will need:

  • 12–15 years of experience in Big Data engineering, with hands-on focus on on-premises data lake environments.
  • Extensive Telecom domain knowledge – including data models and pipelines related to CDRs, BSS/OSS, customer and network data.
  • Strong practical experience with:
  • Cloudera (CDH/CDP) components: Spark, Hive, HDFS, HBase, Impala
  • Kafka: configuration, topic management, producer/consumer setup
  • Python for data transformations and automation
  • Access control and metadata management using Ranger
Benefits

This role offers:

  • A dynamic and collaborative work environment.
  • The opportunity to work on cutting-edge technologies.
  • A competitive salary and benefits package.
Others

Please note that:

  • Experience with API development and integration for data services is a plus.
  • Optional/Added Advantage: Exposure to cloud platforms (AWS EMR, Azure HDInsight, GCP Dataproc), hybrid architecture understanding.

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