Senior Data Engineer (GCP/BigQuery Migration)

1/12/2026

Lead the migration of data from Amazon RDS to Google BigQuery and design scalable data management systems. Collaborate with the Engineering Manager and Product stakeholders while mentoring junior engineers.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

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About The Company

Miratech helps visionaries to change the world. We are a global IT services and consulting company that brings together global enterprise innovation and start-up innovation. Today we support digital transformation for the largest enterprises on the planet. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. Our culture of Relentless Performance enables over 99% of Miratech’s engagements to succeed by meeting or exceeding scope, schedule and/or budget objectives since our inception in 1989. For additional information about Miratech, please visit www.miratechgroup.com

About the Role

Company Description

Our Client, a global leader in cloud contact center technology, is expanding its data engineering team to support the development of a large-scale Data Lake on Google BigQuery. We are seeking a Senior Data Engineer to take a leading role in migrating data from legacy systems, building scalable CDC pipelines, and shaping the future of the platform.

Job Description

As a Senior Data Engineer, you will drive the technical implementation of data pipelines and migration processes from Amazon RDS into Google BigQuery. You will work independently while collaborating closely with the Engineering Manager and Product stakeholders. You will mentor junior engineers and ensure high-quality delivery across the project.

Working hours: 14:00–23:00

Responsibilities:

Lead the migration of data from RDS to Google BigQuery.
Design, construct, test, and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry practices.
Integrate new data management technologies and software engineering tools into existing structures.
Work with messaging systems and data pipelines.
Employ a variety of technologies and tools to marry systems together.
Drive the improvements on data reliability, efficiency, and quality.

Qualifications

6+ years of hands-on experience with Google Cloud Platform, including: BigQuery, DataStream (CDC), Dataflow, Pub/Sub
Strong Java development background.
Experience with Spring Boot.
Proven expertise in building CDC pipelines and distributed data processing systems.
Track record of migrating large datasets from relational databases into BigQuery.
Strong knowledge of automated testing (unit, integration, pipeline tests).
Ability to work autonomously, make architectural decisions, and own end-to-end delivery.

Additional Information

Key Skills

Google Cloud PlatformBigQueryDataStreamDataflowPub/SubJavaSpring BootCDC PipelinesDistributed Data ProcessingAutomated TestingData Management SystemsData ReliabilityData EfficiencyData QualityMessaging SystemsSoftware Engineering Tools