We are seeking an experienced GCP Data Engineer to lead and deliver endtoend data migration initiatives from onpremises or legacy systems to Google Cloud Platform (GCP). The ideal candidate will bring deep expertise in data migration strategy, cloudnative data services, and largescale data transformation and validation, ensuring high data integrity and minimal downtime during migrations.

Key Responsibilities

• Design and execute comprehensive data migration strategies from onpremises, legacy platforms, or other cloud environments to GCP.
• Migrate structured and semistructured data to BigQuery, Bigtable, and other GCP storage solutions.
• Build, optimize, and maintain scalable migration pipelines using Python, SQL, and distributed processing frameworks on Dataproc (Apache Spark).
• Implement batch and streaming migration patterns using Cloud Composer (Apache Airflow), Kafka, and Google Pub/Sub.
• Perform schema mapping, data transformation, reconciliation, and validation to ensure accuracy, consistency, and completeness of migrated datasets.
• Enable metadata management, lineage, and governance using Dataplex and Data Catalog.
• Handle largevolume data transfers using industry best practices such as parallel loading, incremental loads, and CDC where applicable.
• Lead migrations from onpremise RDBMS, enterprise data warehouses, or Hadoop ecosystems.
• Collaborate closely with application, data, infrastructure, and security teams to ensure seamless migrations with minimal business disruption.
• Optimize migrated workloads for performance, scalability, and cost efficiency on GCP.
• Troubleshoot migration issues and support postmigration stabilization and continuous optimization.
• Document migration architectures, processes, and operational runbooks.

Required Technical Skills

• Google Cloud Platform (GCP)
• BigQuery
• Dataproc / Apache Spark
• Python (ETL/ELT pipelines and automation)
• SQL (data transformation, validation, and reconciliation)
• Databases: MySQL, Hive, MongoDB
• Cloud Composer / Apache Airflow
• Kafka and Google Pub/Sub
• Bigtable
• Apigee / REST APIs (data extraction and integration)
• Dataplex / Data Catalog (metadata management and governance)

Good to Have

• Experience with Change Data Capture (CDC) patterns
• Data quality, audit, and reconciliation frameworks
• CI/CD implementation for data pipelines

Posting End Date: 

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business units risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

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