Teradata to Google Cloud Platform-Migration

Overview

Remote
Contract - W2
Contract - Independent
Contract - 12+

Skills

Python
SQL
DEV OPS
Documentation
Continuous Integration/Delivery
data migration
bigquery
ETL
Problem-solving
Best Practices
Database Modeling
Data Quality
CVS
Gather Requirements
Apache
Hipaa
Large-Scale
Data Modeling
Data Governance
Google Cloud
GCP
Cloud Storage
Data Services
Teradata

Job Details

Job Title: Teradata to Google Cloud Platform-Migration
Tax Term: W2/1099 Only
Location: Remote - Dallas TX
Employment Type: Contract

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

Our 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 Summary:

We are seeking a skilled Data Engineer with proven experience in enterprise-level data migrations, particularly from Teradata to Google Cloud Platform (Google Cloud Platform). 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform services, especially BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
  • Strong knowledge of ETL development using Python, SQL, and Google Cloud Platform-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.

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

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