Data Engineer (Teradata to Google Cloud Platform Migration)

Hybrid in East Hartford, CT, US • Posted 13 hours ago • Updated 13 hours ago

Full Time

No Travel Required

Hybrid

Depends on Experience

TekDallas

Fitment

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Job Details

Skills

BigQuery
Dataflow
Cloud Storage
Pub/Sub
Composer
and Dataproc
Teradata
GCP Migration

Summary

Position: Data Engineer (Teradata to Google Cloud Platform Migration)

Location: Hartford, CT

Hybrid Onsite: 3 days a week

Duration: 12 Month Contract

Required Skills:

4+ years of experience in Data Engineering, with at least 2 years in Google Cloud Platform.
Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL.
Solid knowledge of Google Cloud Platform services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
Experience with ETL/ELT pipelines using custom scripting tools (Python/Java).
Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform.
Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
Intangibles: Strong analytical, troubleshooting, and communication skills. Problem solving mindset, Attention to detail, Accountability and ownership

Preferred Qualifications:

Google Cloud Platform certification: Professional Data Engineer
Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on Google Cloud Platform.
Experience working in the healthcare domain.
Knowledge of data governance, security, and compliance in cloud ecosystems.

Key Responsibilities:

Execute migration of data and ETL workflows from Teradata to Google Cloud Platform-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow).
Analyze and map existing Teradata workloads to appropriate Google Cloud Platform equivalents.
Rewrite SQL logic, scripts, and procedures in Google Cloud Platform-compliant formats (e.g., standard SQL for BigQuery).
Collaborate with data architects and business stakeholders to define migration strategies, validate data quality, and ensure compliance.
Develop automated workflows for data movement and transformation using Google Cloud Platform-native tools and/or custom scripts (Python).
Optimize data storage, query performance, and costs in the cloud environment.
Implement monitoring, logging, and alerting for all migration pipelines and production workloads.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91162571
Position Id: 8874135
Posted 13 hours ago

Company Info

About TekDallas

TekDallas offers outsourced product development, managed services solutions and business process management to organizations seeking higher operational effectiveness, greater flexibility, and cost savings.

We help create a virtual extension of our clients’ enterprise with an operational framework which is simple, flexible and resilient.

TekDallas enables its clients to extend current capabilities and build value-added services by providing global access to resources and diverse skill sets, including best practices in multiple processes and technology domains. Our services are designed to aid businesses improve their operational efficiencies, performance and reduce costs.

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