
Telecom Data Engineer
4 days ago
Our organization is seeking a seasoned data engineering professional with extensive experience in designing and implementing large-scale data lakes using Cloudera, particularly within the telecom domain.
The ideal candidate will have expertise in developing batch and real-time pipelines, optimizing distributed data systems, and ensuring secure, high-performance data infrastructure.
- Design and maintain data pipelines using Spark, Hive, and Python on Cloudera.
- Develop real-time ingestion workflows with Kafka (e.g., CDRs, usage logs).
- Manage orchestration with Oozie, access control with Ranger, and APIs for downstream integration.
- Ensure security compliance (Kerberos, Ranger), performance tuning, and resource optimization.
- Collaborate with cross-functional teams to deliver telecom-focused data solutions.
- Experience with cloud migration/integration is an added advantage.
Key Requirements:
- 12–15 years of experience in Big Data Engineering with strong Cloudera expertise.
- Deep understanding of the telecom domain, including CDRs, OSS/BSS, and network data.
- Hands-on experience with Kafka, Python, Hive, HDFS, HBase, Oozie, Impala.
- Strong skills in data security, orchestration, and performance optimization.
- Cloud experience is an added advantage.
Benefits and Expectations:
- Collaborative team environment
- Opportunities for professional growth and development
- Competitive compensation and benefits package
Additional Information:
- Must be willing to work in a fast-paced environment
- Ability to adapt to changing project requirements
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