Técnicas Reunidas is a world-leading international general contractor engaged in the engineering and construction of industrial facilities in the fields of Oil & Gas, Petrochemicals, Power Generation, Energy Transition, Infrastructures and industries, etc. Tecnicas Reunidas has worked and built all over the world, in 60 countries of the 5 continents. Professionals with relevant design experience in the industry sectors of Oil & Gas, Refinery, Power Plant, and Petrochemical and having good knowledge in the following activities: RESPONSIBILITIES Define and govern canonical event contracts, schemas, source/asset identifiers, timestamps, quality indicators, traceability metadata and schema-versioning practices. Design and implement reliable ingestion and event-streaming pipelines between the central Data Lake and SA platform services. Design and configure Apache Kafka topics, partitions, replication, keys, consumer groups, retention, compaction, offset-management and replay strategies. Develop and maintain Kafka Connect source/sink connectors and custom integration services where required. Implement event normalization, enrichment, validation, idempotency, deduplication, late/out-of-order event handling, retries, dead-letter processing and recovery. Manage event schemas and schema evolution using Schema Registry and Avro, Protobuf and/or JSON Schema. Monitor throughput, consumer lag, latency, pipeline freshness, connector health, failed records and data quality and support burst, failover, replay and recovery testing.



Design PostgreSQL and short-term operational event/state storage without duplicating long-term data maintained in the enterprise Data Lake/historian. Integrate event/data flows with Java/Spring Boot SA Core services and Python-based AI services. Integrate AI outputs including detections, anomaly events, confidence values, predictions and model-version information into Kafka, SA and the Data Lake. Develop representative data generators, event simulators and controlled plant scenarios for functional, load and recovery testing. Collaborate with backend, frontend/3D, Data Lake and AI engineers to define reliable and documented event/data interfaces. Deploy and troubleshoot containerized streaming services on Linux/Docker in restricted on-premises and air-gapped-capable environments. Technical Skills Apache Kafka: Strong production experience with topics, partitions, replication, producers/consumers, consumer groups, offsets, retention, compaction, keys, ordering, replay and consumer lag. Kafka Connect: Hands-on experience with source/sink connectors, connector configuration, troubleshooting and custom integrations. Event Processing: Robust knowledge of idempotency, deduplication, retries, DLQ, replay, backpressure, delivery semantics and failure recovery. Event Schemas: Experience with Schema Registry and Avro,



Protobuf and/or JSON Schema, including schema evolution and compatibility. Programming: Strong Python and/or Java skills for connector development, streaming services, transformations, validation and test-data generation. Data: Strong SQL/PostgreSQL skills, schema design, indexing, query optimization, metadata management and data-quality processing. Data Lake: Understanding of Parquet, partitioning, metadata and Data Lake ingestion/retrieval patterns. Industrial Data: Working knowledge of historian/time-series, telemetry, asset/tag and engineering data; OPC UA/MQTT familiarity preferred. AI Integration: Understanding of AI inference data flows and integration of detections, confidence scores, anomaly events, predictions and model-version metadata. Platform: Docker, Linux, networking fundamentals, secure service-to-service communication, monitoring/logging and CI/CD. Observability: Consumer lag, throughput, end-to-end latency, connector health, pipeline freshness and data-quality monitoring. Deployment: Experience with containerized on-premises/restricted-network environments; solutions must not depend on mandatory public-cloud services. Benefits & Perks Exposure to work at International Assignments and Clients Flexible work time Full time role Attractive Salary and Packages. Diversity and equality At Técnicas Reunidas, we have a strong commitment to equal opportunities for women and men, as well as to diversity. To this end, we carry out rigorous recruitment processes that ensure these principles.

📌 Data and Event Streaming Engineer (Karnataka)
🏢 Tecnicas Reunidas
📍 Karnataka