GCP BigQuery Nifi Kafa Data Engineer - Virtues

About the Role

We are seeking a highly skilled GCP BigQuery Data Engineer with hands-on experience building cloud-native data platforms and scalable data pipelines. The ideal candidate will have strong expertise in Google BigQuery, Apache NiFi, Apache Kafka, Cloud Dataflow, Pub/Sub, SQL, and ETL/ELT development , with experience designing enterprise data warehouses and Data Lake solutions.

Key Responsibilities

· Design, develop, and optimize enterprise data warehouse solutions using Google BigQuery .

· Design, develop, and maintain real-time data ingestion pipelines using Apache NiFi to capture, transform, and route streaming data into Apache Kafka topics.

· Build scalable event-driven streaming architectures using Apache NiFi, Apache Kafka, and Google BigQuery for high-throughput, fault-tolerant, and low-latency data processing and analytics.

· Configure and optimize Apache NiFi processors for data extraction, transformation, routing, filtering, schema validation, error handling, retry mechanisms, and reliable delivery to Kafka topics.

· Develop streaming ingestion solutions enabling Google BigQuery to consume Kafka event streams and transform near real-time data into analytical tables and enterprise reporting datasets.

· Design data models and implement ETL/ELT processes to move data from raw to curated and published data layers.

· Design, create, and manage large-scale BigQuery datasets , including temporary/permanent and internal/external tables.

· Optimize BigQuery workloads through query tuning, partitioning, clustering, and cost optimization techniques to improve performance and reduce cloud costs.

· Monitor, troubleshoot, and optimize streaming workloads by tuning NiFi flows , Kafka topics/partitions , and BigQuery streaming ingestion to ensure high availability, data integrity, minimal latency, and cost-efficient processing.

· Build scalable Data Lake frameworks and ingestion pipelines using cloud-native GCP technologies.

· Develop reporting and visualization solutions using Looker, Looker Studio (Data Studio), Connected Sheets , and other BigQuery reporting tools.

· Collaborate with data architects, modelers, developers, DevOps engineers, project managers, and business stakeholders to deliver scalable enterprise analytics solutions and continuous data platform improvements.

Required Qualifications

· 7+ years of experience in Data Engineering, Data Warehousing, or Big Data platforms.

· Mush-Have Skills: Apache NiFi, Apache Kafka.

· Strong hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Dataflow, Pub/Sub, and Google Cloud Storage (GCS).

· Hands-on experience designing and supporting real-time streaming pipelines using Apache NiFi, Apache Kafka, and Google BigQuery.

· Experience using BigQuery Console/Query Editor for data management, performance tuning, and SQL development.