Data Engineer - WkStrm3 - Syslog-NG to Iceberg

Req ID: 364921 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer - WkStrm3 - Syslog-NG to Iceberg to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Duties: NTT DATA is seeking a Streaming Integration Engineer to own the two streaming ingestion workstreams of the PNC Bank Hadoop-to-Iceberg POC. This role is responsible for designing and delivering production-grade PySpark Structured Streaming pipelines that ingest data into Apache Iceberg tables — operating under specific technical constraints. For example, workstream 2 requires building a Confluent Kafka-to-Iceberg ingestion application using only Apache-supported APIs. PNC will not permit the use of the unsupported Confluent Iceberg Sink Connector. Additionally, workstream 3 requires delivering a syslog-ng-to-Iceberg batch ingestion pipeline via rolling log files, as syslog-ng has no native Iceberg sink. 

The engineer will work closely with GitHub CoPilot to scaffold, iterate, test, and document the streaming application code — acting as the technical reviewer and subject matter expert who ensures AI-generated pipelines are production-ready, PNC-compliant, and correctly integrated with the Iceberg catalog and Protegrity tokenization layer. 

Workstream 3 – syslog-ng to Iceberg 

Implement Option 2 (Batch Flow): configure syslog-ng to write JSON-formatted logs to rolling daily files on HDFS/S3-compatible storage, then build a PySpark file-source streaming job to read and parse these files incrementally into an Iceberg table 

Ensure schema alignment between syslog-ng JSON output fields (HOST, MSGHDR, MSG, and RFC5424 metadata) and the target Iceberg table definition 

Add production-grade error handling: dead-letter queue for malformed log records, alerting on parse failures, and graceful recovery from checkpoint corruption 

Write unit tests validating HOST/MSGHDR/MSG field mapping, schema conformance, and ingestion idempotency across overlapping file windows 

Cross-Cutting Responsibilities 

Collaborate with the Data Migration Engineer (Workstream 1) to ensure Iceberg catalog configuration, partition strategies, and compaction schedules are consistent across all three workstreams 

Review and refine AI-generated PySpark pipelines to ensure they meet PNC coding standards, security requirements, and performance targets 

Contribute to the POC close-out stakeholder demo, presenting both streaming pipeline results with live data flow demonstrations

Minimum Skills Required: Log Ingestion & syslog-ng 

Experience with syslog-ng or equivalent Linux log aggregation tools (rsyslog, Fluentd, Logstash) including configuration of sources, destinations, filters, and output templates 

Familiarity with RFC5424 syslog format and JSON-based log structuring for downstream analytical consumption 

Experience designing log-to-data-lake pipelines using file-based intermediary storage (HDFS, S3, Azure Blob) with Spark file-source streaming 

Data Engineering & Iceberg 

Working knowledge of Apache Iceberg: catalog configuration, schema definition, append writes, and partition strategy for event and log data 

Familiarity with S3-compatible object storage as an Iceberg warehouse destination 

Understanding of medallion architecture — ability to correctly land streaming data in the Bronze layer with appropriate schema governance 

Experience with syslog-ng 

Experience with AI-assisted development tools for code generation, testing, and documentation 

Familiarity with Protegrity or equivalent enterprise PII tokenization solutions integrated within Spark pipelines

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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