Sr GCP VME Engineer

Job title: Sr GCP VME Engineer

Work Location: Remote

Job Type: Contract

Minimum years of experience: 6+

Job Description:

We are looking for a skilled Data Engineer with strong experience in designing, building, and optimizing data pipelines, along with hands-on expertise in cloud security practices. The role requires deep knowledge of cloud platforms (Azure/AWS/GCP), secure data engineering frameworks, and the ability to implement security controls across data platforms.

Key Responsibilities

• Data Engineering
• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Develop and optimize data models, data lakes, and data warehouses.
• Work with big data technologies such as Spark, Hadoop, Databricks, Kafka, or equivalent.
• Implement data quality and governance frameworks.
• Collaborate with analytics, product, and engineering teams to deliver secure and reliable data solutions.
• Cloud Platform & Infrastructure
• Build and maintain cloud-based data solutions using Azure/AWS/GCP.
• Manage cloud-native services such as Azure Data Factory, AWS Glue, BigQuery, Redshift, Synapse, S3, etc.
• Deploy infrastructure using IaC tools like Terraform, CloudFormation, ARM templates, etc.
• Implement monitoring, logging, and alerting for data pipelines and storage.
• Cloud Security & Compliance
• Implement and manage security best practices across cloud data environments.
• Ensure compliance with organizational and regulatory standards (GDPR, ISO, SOC2, HIPAA, etc.).
• Configure and monitor IAM roles, access controls, encryption policies, and network security for data platforms.
• Work with security teams to perform risk assessments, threat modeling, and vulnerability remediation.
• Enable data protection mechanisms such as data masking, encryption at rest/in transit, and secure key management.