GCP Data Engineer
1 week ago
Role: GCP Data Engineer
Experience: 6+ Years
Opening: 1
Type: Remote
Duration: Long Term
Shift: 1 PM-10:30 PM IST
Job Description
Background: Vendor will migrate data from Teradata database to BigQuery. Convert existing jobs (BTEX, Informatica) to GCP data flow jobs. The DE will help with:
Validate to make sure everything is okay
New Development - new initiatives that are coming in will be develop in Cerebro GCP platform
Strong experience in GCP platform with BQ and all the data flow services
Core Skills
Proficient in SQL, Python, PySpark, and Spark SQL for data manipulation and transformation.
Strong understanding of data modeling, normalization, and schema design
Experience building ETL/ELT pipelines for structured and unstructured data
Ability to design and maintain data lakes, data warehouses, and data marts
Knowledge of batch and stream data processing architectures
GCP-Specific Tools & Services
BigQuery: Data warehouse design, optimization, and cost control
Dataproc: Running Spark/Hadoop jobs
Cloud Data Fusion: Design, Develop, and Deploy data pipelines
Cloud Storage: Data lake setup, object lifecycle management
Cloud Dataflow (Apache Beam): Scalable stream/batch data processing
Cloud Composer (Airflow): Workflow orchestration
DevOps & Infrastructure
Cloud IAM: Role-based access control and security best practices
VPC, Firewall, and KMS: Network configuration and data encryption
Terraform / Deployment Manager: Infrastructure as Code (IaC)
CI/CD Pipelines: Automating deployments and testing
Data Governance & BI
Implementing data quality, lineage, and cataloging (e.g., with Data Catalog)
Integrating with Looker, Data Studio, or other BI tools
Supporting compliance, auditing, and access transparency
Soft Skills & Best Practices
Strong problem-solving and stakeholder communication skills
Experience in agile development environments
Familiar with cost optimization, monitoring, and SLOs/SLAs
Job Type: Permanent
Pay: ₹500, ₹1,241,483.59 per year
Benefits:
- Work from home
Work Location: Remote
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