Data Engineer (Local)

Must Have Technical/Functional Skills:

• System Architecture & Design Lead the design of scalable, fault-tolerant mediation
• components including file ingestion, format conversion, SFTP distribution, event monitoring, and
• downstream delivery pipelines.
• Binary Protocol & Telecom Data Expertise Parse, decode, and transform binary telecom data
• formats including ASN.1-encoded CDRs/UDRs, AMA (Automatic Message Accounting) records,
• and proprietary carrier formats at the byte-stream level.
• Java / Spring Boot Development Build and maintain core mediation services using Java 17+
• and Spring Boot (Spring Integration, Spring Batch, Spring Kafka); contribute to shared starters
• and reusable platform libraries.
• Kubernetes / OpenShift Operations Design and deploy containerized workloads on
• OpenShift/Kubernetes; own Helm chart definitions, resource tuning, PVC strategies, horizontal
• scaling, and rolling upgrade policies.
• Oracle Database Design and optimize schemas for high-volume mediation metadata,
• reconciliation state, and audit trails; write and tune complex SQL for operational reporting.
• Site Reliability Engineering (SRE) Define and enforce SLOs/SLIs; lead incident response; drive
• post-mortems; implement error budgets and auto-remediation patterns into the platform.
• Advanced Observability & Monitoring Build deep observability into the platform: structured
• logging (Log back/ELK), distributed tracing (Open Telemetry/Jaeger), metrics
• (Micrometer/PrometheGrafana), and alerting strategies for carrier-grade availability.
• Performance & Reliability Engineering Profile and optimize JVM performance, Kafka consumer
• throughput, file I/O pipelines, and database query patterns; establish benchmarks and
• regression gates.
• Cross-Team Technical Leadership Drive architectural decisions, conduct design reviews,
• mentor engineers, and collaborate with network, OSS/BSS, and downstream consumer teams.
• Roles & Responsibilities
• Hands-on experience with ASN.1 decoding, AMA record parsing, binary CDR/UDR
• formats (3GPP, ANSI), and byte-stream manipulation
• Strong Kubernetes and OpenShift skills: Helm, resource policies, stateful workloads, network
• policies, operator patterns
• Proficient in Oracle SQL and PL/SQL: schema design, indexing strategies, partitioning, explain
• plans
• SRE mindset: SLO/SLI definition, on-call discipline, chaos engineering fundamentals, capacity
• planning
• Experience building production-grade observability: Prometheus, Grafana, Open Telemetry,
• ELK/EFK, alerting pipelines
• Demonstrated ability to debug and resolve issues at the system level OS, JVM, network, file
• descriptor limits, pressure, thread contention
• Experience with Apache Kafka at scale: partition strategy, consumer group tuning, offset
• management, dead-letter handling
• Solid understanding of SFTP, S3/object storage, file lifecycle management, and large-scale file
• distribution patterns