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Senior Data Engineer (GCP/BigQuery Migration) at Miratech

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

0.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud Platform, BigQuery, DataStream, Dataflow, Pub/Sub, Java, Spring Boot, CDC Pipelines, Distributed Data Processing, Automated Testing, Data Management Systems, Data Reliability, Data Efficiency, Data Quality, Messaging Systems, Software Engineering Tools

Industry

IT Services and IT Consulting

Description

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

Responsibilities

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.