Role: GCP Data Engineer (Teradata to GCP Migration) Location: Remote Job Type: Contract Tax Term: W2/1099 About us: Conglomerate IT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at https://www.conglomerateit.com/ Conglomerate IT mission is to establish global cross culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global network to connect business with the right people without bias. We provide Global Workforce Solutions with affability. Job Description: 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.