Job DescriptionTécnicas 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.

NProfessionals with relevant design experience in the industry sectors of Oil & Gas, Refinery, Power Plant, and Petrochemical and having good knowledge in the following activities:

NRESPONSIBILITIES

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- Define and govern canonical event contracts, schemas, source/asset identifiers, timestamps, quality indicators, traceability metadata and schema-versioning practices.
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- Design and implement reliable ingestion and event-streaming pipelines between the central Data Lake and SA platform services.
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- Design and configure Apache Kafka topics, partitions, replication, keys, consumer groups, retention, compaction, offset-management and replay strategies.
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- Develop and maintain Kafka Connect source/sink connectors and custom integration services where required.
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- Implement event normalization, enrichment, validation, idempotency, deduplication, late/out-of-order event handling, retries, dead-letter processing and recovery.
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- Manage event schemas and schema evolution using Schema Registry and Avro, Protobuf and/or JSON Schema.
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- Monitor throughput, consumer lag, latency, pipeline freshness, connector health, failed records and data quality and support burst, failover, replay and recovery testing.
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- Design PostgreSQL and short-term operational event/state storage without duplicating long-term data maintained in the enterprise Data Lake/historian.
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- Integrate event/data flows with Java/Spring Boot SA Core services and Python-based AI services.
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- Integrate AI outputs including detections, anomaly events, confidence values, predictions and model-version information into Kafka, SA and the Data Lake.
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- Develop representative data generators, event simulators and controlled plant scenarios for functional, load and recovery testing.
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- Collaborate with backend, frontend/3D, Data Lake and AI engineers to define reliable and documented event/data interfaces.
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- Deploy and troubleshootcontainerized streaming services on Linux/Docker in restricted on-premises and air-gapped-capable environments.
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nTechnical Skills

NApache Kafka: Strong production experience with topics, partitions, replication, producers/consumers, consumer groups, offsets, retention, compaction, keys, ordering, replay and consumer lag.

NKafka Connect: Hands-on experience with source/sink connectors, connector configuration, troubleshooting and custom integrations.

NEvent Processing: Strong knowledge of idempotency, deduplication, retries, DLQ, replay, backpressure, delivery semantics and failure recovery.

NEvent Schemas: Experience with Schema Registry and Avro,



Protobuf and/or JSON Schema, including schema evolution and compatibility.

NProgramming: Strong Python and/or Java skills for connector development, streaming services, transformations, validation and test-data generation.

NData: Strong SQL/PostgreSQL skills, schema design, indexing, query optimization, metadata management and data-quality processing.

NData Lake: Understanding of Parquet, partitioning, metadata and Data Lake ingestion/retrieval patterns.

NIndustrial Data: Working knowledge of historian/time-series, telemetry, asset/tag and engineering data;

OPC UA/MQTT familiaritypreferred.

NAI Integration: Understanding of AI inference data flows and integration of detections, confidence scores, anomaly events, predictions and model-version metadata.

NPlatform: Docker, Linux, networking fundamentals, secure service-to-service communication, monitoring/logging and CI/CD.

NObservability: Consumer lag, throughput, end-to-end latency, connector health, pipeline freshness and data-quality monitoring.

NDeployment: Experience with containerized on-premises/restricted-network environments;

solutions must not depend on mandatory public-cloud services.

NBenefits & Perks

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- Exposure to work at International Assignments and Clients
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- Adaptable work time
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- Full time role
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- Attractive Salary and Packages.
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nDiversity and equality

NAt 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 (Bengaluru)
🏢 Tecnicas Reunidas
📍 Bengaluru