
Onix DataMetica is Hiring GCP Engineers in Hyderabad
1 week ago
We are looking for an experienced Data Engineer with expertise in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and cloud-native solutions. The ideal candidate should have strong hands-on experience in GCP services, SQL, and data engineering best practices.
Key Responsibilities
- Design and develop ETL/ELT pipelines using Dataflow, Dataproc, and Cloud Composer (Airflow).
- Build and optimize data warehouses and data lakes using BigQuery, Cloud Storage, and Pub/Sub.
- Collaborate with analysts, data scientists, and business stakeholders to deliver reliable data solutions.
- Implement data quality, governance, and security standards.
- Automate workflows, improve performance, and ensure cost optimization on GCP.
- Work with DevOps teams to integrate data pipelines into CI/CD frameworks.
- Troubleshoot production issues and ensure high availability of data pipelines.
Required Skills & Qualifications
- 3 years of experience as a Data Engineer (at least 2+ years on Google Cloud Platform).
- Strong knowledge of BigQuery, Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Pub/Sub, Cloud Composer.
- Proficiency in SQL and at least one programming language (Python, Java, or Scala).
- Experience with ETL/ELT development, data modeling, and performance optimization.
- Familiarity with Terraform or Infrastructure as Code (IaC).
- Strong understanding of data warehousing concepts and cloud-native architectures.
- GCP Certification (Professional Data Engineer) is a plus.
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