Data Engineer - WkStrm3 - Syslog-NG to Iceberg

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, Karntaka (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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .

NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.