
Chief Data Architect
1 day ago
Job Opening: Data Engineer - Big Data Specialist
We are seeking a highly skilled data engineer to support our team in Oman. This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company.
About the Role:
The successful candidate will be responsible for designing, building, and maintaining large-scale data pipelines using Apache Spark, Hive, and Python. They will develop real-time data ingestion workflows using Kafka, tailored for telecom datasets (e.g., usage logs, CDRs). Additionally, they will manage job orchestration and scheduling using Oozie, with data access enabled via Hue and secured through Ranger.
Key Responsibilities:
- Design and implement large-scale data pipelines using Apache Spark, Hive, and Python.
- Develop real-time data ingestion workflows using Kafka 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 in a telecom context.
Required Skills & Experience:
- 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 components: Spark, Hive, HDFS, HBase, Impala
- Kafka: configuration, topic management, producer/consumer setup
- Python for data transformations and automation
- Job orchestration via Oozie
- Access control and metadata management using Ranger
Benefits:
This role offers a unique opportunity to work on complex data engineering projects, collaborate with experienced professionals, and contribute to the growth and success of a leading company.
About Us:
We are a dynamic and innovative organization that values collaboration, creativity, and expertise. Our team is committed to delivering exceptional results and making a positive impact in the industry.
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