
Big Data Engineer
1 day ago
Location: Muscat, Oman
We are seeking a highly skilled Data Architect with deep expertise in designing and implementing large-scale data systems.
About the Job:The ideal candidate will have 12–15 years of experience in Big Data engineering, with hands-on focus on on-premises data lake environments.
Key Responsibilities:
- Design and build on-premises data pipelines using Apache Spark, Hive, and Python.
- Develop real-time data ingestion workflows using Kafka, tailored for telecom datasets.
- Manage job orchestration and scheduling using Oozie, with data access enabled via Hue and secured through Ranger.
- Implement and manage data security policies to ensure compliance and controlled access.
- Develop and expose REST APIs for downstream integration and data access.
- Ensure performance tuning, resource optimization, and high availability of the Cloudera platform.
- Collaborate with data architects, engineers, and business stakeholders to deliver end-to-end solutions.
Experience Required: 12–15 years in Big Data engineering.
Key Skills:
- Extensive Telecom domain knowledge – including data models and pipelines related to CDRs, BSS/OSS, customer and network data.
- Strong practical experience with Cloudera components: Spark, Hive, HDFS, HBase, Impala.
- Python for data transformations and automation.
- Job orchestration via Oozie.
- Access control and metadata management using Ranger.
- Proficient in performance tuning, resource management, and security hardening of Big Data platforms.
This role offers a challenging opportunity to work with cutting-edge technologies and contribute to the growth of our organization.
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