Principal Data Engineer

4 weeks ago

Bangalore, India Rock interviews Full time

What We Are Looking For :

As a Principal Data Engineer, you will take ownership of the ideation, architecture, design, and development of our enterprise data platform. You will play a key role in collaborating with cloud and security architects to ensure a seamless integration within our broader technology strategy.

We are looking for someone with a passion for creating efficient, high-performance data systems that align with best practices and cutting-edge industry trends.

Requirements :

- 15+ years of experience in data engineering with a strong background in software engineering and exposure to modern data landscapes.

- Proven track record in architecting and building enterprise-scale data platforms in greenfield environments.

- Expertise in developing end-to-end data platforms on Google Cloud Platform (GCP), leveraging tools such as BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, and Pub/Sub.

- Experience with microservices architectures, including Kubernetes, Docker, and Cloud Run for containerized environments.

- Deep experience with batch and real-time streaming infrastructure and workloads, including tools like Apache Kafka, Spark, or equivalent technologies.

- Strong knowledge in designing and implementing metadata management, including data catalogs, lineage tracking, data quality, and observability for large-scale workflows.

- Expertise in data lakehouse architectures and hands-on experience with the GCP ecosystem.

- Strong understanding of data modeling, architecture, and governance principles, with a focus on security and compliance.

- Extensive experience in DataOps principles, including CI/CD, test automation, and observability tooling such as Grafana or Datadog.

- Demonstrated experience in building Symantec layers for efficient data consumption and management.

Nice to Have :

- Experience with Data Mesh architecture to enable decentralized data ownership and self-service data platforms.

- Experience in building scalable IoT architectures to handle massive real-time data streams from connected devices.

- Proficiency in developing semantic layers that provide consistent and reusable data across different business domains.

(ref:hirist.tech)

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