ER
Erin Rifkin
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
about 1 year ago
Google Cloud Platform DATA ENGINEER
SUNRAY INFORMATICS
Newark, NJ, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services
Business Analytics Applications
BigQuery
Cloud Computing
Cloud Engineering
Cloud Storage
Cyber Security
Continuous Integration
Data Fusion
Extract Transform Load (ETL)
+24 more
Data Warehousing
DevOps
Distributed Computing Environment
Data Flow Control
Identity and Access Management
Python (Programming Language)
Meta-Data Management
Cloudera
SQL Databases
Enterprise Data Management
Data Logging
Google Cloud
Data Ingestion
Snowflake
Apache Spark
Multi-Cloud
Git
Kubernetes
Apache Kafka
Terraform
Oracle Cloud Infrastructure
Data Pipelines
Docker
Databricks
Requirements
- 5+ years handson Google Cloud Platform (Google Cloud Platform)
- Strong in BigQuery, Data Fusion, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage
- Deep experience building ETL/ELT pipelines, data ingestion, orchestration, and analytics workflows
- Strong Python + SQL for cloud-native development
- Experience with Cloud Functions, Cloud Run, Cloud SQL
- Strong DevOps/SecOps, CI/CD, Git-based deployments
- Experience with IaC, automation, monitoring, logging, cloud governance
- Strong understanding of data warehousing, lakehouse, distributed processing, metadata management
Core Responsibilities
- Design, build, administer, and optimize enterprise Google Cloud Platform environments
- Build scalable data pipelines and analytics platforms
- Implement DevOps/CI/CD and cloud automation
- Ensure security, IAM, governance, monitoring, and cost optimization
- Support cloud modernization and enterprise data platform initiatives
Nice to Have
- Multi-cloud exposure (AWS, OCI)
- Experience with Snowflake, Databricks, Spark, Kafka, Airflow, Terraform, Docker, Kubernetes
- AI/ML or Vertex AI exposure
Preferred Certifications
- Google Professional Cloud Architect / Data Engineer
- Google Associate Cloud Engineer
- Google Cloud Platform DevOps Engineer
- AWS / OCI / Snowflake / Databricks certifications
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.comGood distractions
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