- Must-Have Skills Java, Unix/Linux and SQL, with strong skills in Apache NiFi, Apache Kafka and Kubernetes.

- Strong proficiency in Java for building scalable, high-throughput mediation and streaming applications.

- Strong experience designing and managing Apache NiFi data flows.

- Hands-on experience with Kubernetes for container orchestration, scaling, and resilience.

- Hands-on experience with Apache Kafka, including producers, consumers, partitions, offsets, and fault tolerance.

- Strong Unix/Linux skills, including shell scripting, process management, and troubleshooting.

- Solid understanding of telecom mediation concepts (CDRs, enrichment, aggregation, downstream delivery).

- Experience handling high-volume, low-latency data pipelines in 247 production environments.

- Familiarity with CI/CD pipelines, Git-based version control, and DevOps workflows.

- Experience monitoring distributed systems using logs, metrics, and ing tools.

- Strong analytical and problem-solving skills across complex distributed data flows.

Good-to-Have Skills:

- Experience with telecom network data (5G, LTE, VoLTE, SMS, data usage, roaming).

- Knowledge of stream processing frameworks such as Kafka Streams, Spark Streaming, or Flink.

- Experience with cloud platforms (Azure, AWS, or GCP).

- Exposure to analytics platforms like Snowflake, Databricks, or Streamlit.

Skills:

- Java, Unix/Linux and SQL, with strong skills in Apache NiFi, Apache Kafka and Kubernetes.