Data Engineer - GCP
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Position: Senior GCP Data Engineer
Location: Remote
Project Duration: 3+ Months (extendable subject to availability)
Job Overview:
We are seeking a highly skilled 6-7 Years experienced Senior GCP Data Engineer to design, develop, and optimize scalable, cloud-native data pipelines and AI-ready data platforms on Google
Cloud. The ideal candidate will have strong hands-on experience with GCP services and
modern data engineering practices.
Key Responsibilities:
Design and build scalable, high-performance data pipelines on Google Cloud
Develop and maintain batch and real-time (streaming) data processing systems
Optimize data workflows for performance, reliability, and scalability
Collaborate with cross-functional teams to support AI/ML data requirements
Ensure data quality, governance, and security best practices
Manage and monitor production-grade data pipelines
Required Skills:
Strong hands-on experience with Google Cloud Platform (GCP)
Expertise in BigQuery, Cloud SQL, Pub/Sub, and Vertex AI
Proficiency in Python and PySpark for data engineering workloads
Experience with Dataflow and Dataproc for batch and streaming pipelines
Hands-on experience with Apache Airflow for workflow orchestration
Strong understanding of data architecture and pipeline design
Excellent communication and collaboration skills
Job ID: 145419289
Skills:
BigQuery, Git, Terraform, Dataproc, DataFlow, Python, Sql, ELT, Etl, GCP Dataform
Skills:
data engineering , Cloud Storage, BigQuery, Api Integration, Data Integration, Google Cloud Platform GCP, XDM Schema Understanding, Adobe Experience Platform AEP, CI CD DevOps Practices, Data Pipeline Development
Skills:
data engineering , Java, Streaming, BigQuery, Google Cloud Platform, Data Modeling, Dataproc, Sql, Cloud Storage, Data Governance, Python, Etl, Cloud Functions, Cloud Dataflow, Cloud Composer, Messaging
Skills:
Pyspark, Data Modeling, ELT, Cloud Storage, Numpy, Docker, Terraform, Python, BigQuery, Sql, Jenkins, Pandas, Spark, Kubernetes, Etl, GCP Core Services, Infrastructure as Code, Cloud Dataflow, Real-time streaming architectures, CI CD, Pub Sub, Cloud Run, GitHub Actions, API integrations, Cloud Functions, Cloud Dataproc, Cloud Composer Airflow
Skills:
Neo4j, Sql, BigQuery, Dataproc, Python, Cloud Storage, DataFlow, Terraform, Git, Stardog, Spanner
