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GCP Data Engineer
Syncpoint360
posted 3d ago
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Flexible timing
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Syncpoint | Contractual
GCP Data Engineer Job Description Qualification
- Build and maintain scalable, automated ETL/ELT pipelines using BigQuery, Cloud Dataflow, Dataproc, Pub/Sub, and other GCP services.
- Develop workflows for ingesting, processing, and transforming structured, semi-structured, and unstructured data from diverse sources.
- Implement complex data workflows using orchestration tools like Apache Airflow and Cloud Composer.
- Integrate external data systems with GCP services through APIs, Pub/Sub, and Cloud Functions.
- Design and optimize cloud-based data architectures with a focus on performance, scalability, and cost efficiency.
- Utilize GCP services such as Cloud Storage, Cloud SQL, and BigQuery for efficient data storage and retrieval.
- Perform data modeling and query optimization for BigQuery.
- Optimize data pipelines for real-time and batch processing to ensure low-latency and high-throughput operations.
- Implement GCP best practices for data security, encryption, and Identity and Access Management (IAM).
- Enforce data governance policies to maintain data quality, lineage, and compliance with regulatory standards.
- Use tools like GCP Operations Suite (Stackdriver) for monitoring and troubleshooting.
- Perform root cause analysis and optimize data pipelines for scalability and reliability.
- Bachelors
- Proficient in BigQuery, Cloud Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud SQL, and Cloud Storage.
- Expertise in Python and SQL for data processing, querying, and automation.
- Experience with Apache Beam for data processing.
- Strong experience in designing and implementing ETL/ELT workflows using GCP services and orchestration tools.
- Deep understanding of cloud-native architectures and optimization strategies within GCP.
- Knowledge of GCP IAM, VPC, and encryption best practices.
- Experience in implementing data governance frameworks.
- Preferred Skills
- Google Cloud Certified Professional Data Engineer or similar certifications.
- Experience with Apache Kafka, Apache Spark, Hadoop, or Kubernetes.
- Familiarity with Vertex AI or other GCP ML tools.
- Knowledge of data lineage, quality monitoring, and governance practices.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
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