Teradata to GCP-Migration

We are seeking a skilled Data Engineer with proven experience in enterprise-level data migrations, particularly from Teradata to Google Cloud Platform (GCP). This role requires hands-on expertise in modern cloud data services, data modeling, and performance optimization.

Primary Responsibilities:

• Spearhead the end-to-end migration of data systems from Teradata to GCP BigQuery, maintaining high standards of data quality, performance, and reliability throughout the process.
• Build and maintain efficient ETL/ELT pipelines using tools such as Cloud Dataflow, Apache Beam, or Cloud Data Fusion.
• Work collaboratively with cloud engineers to uphold security, compliance, and cost-efficiency across GCP infrastructure.
• Optimize SQL queries and workloads in both Teradata and BigQuery to ensure high performance at scale.
• Collaborate with business stakeholders, analysts, and data architects to capture requirements and ensure accurate data transformation.
• Document technical workflows and implement testing procedures to validate successful data migration.
• Troubleshoot and resolve migration-related issues such as data mismatches, platform compatibility problems, and performance bottlenecks.

Core Skill Requirements:

• Advanced, hands-on experience with Teradata, including complex SQL tuning and handling large-scale datasets.
• In-depth familiarity with GCP services, especially BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
• Strong knowledge of ETL development using Python, SQL, and GCP-native tools.
• Sound understanding of data governance, data quality standards, and data modeling principles.

Nice to Have:

• Working experience with orchestration tools like Cloud Composer, Apache Airflow, or Apache Beam.
• Familiarity with DevOps practices and CI/CD pipelines for automating data workflows.
• Awareness of cloud data security protocols and compliance frameworks such as HIPAA and GDPR.
• Possession of the Google Cloud Professional Data Engineer certification is an added advantage