Data Engineer - Databricks & Data Mesh (Hybrid)

Mizuho Financial Group Inc.

United States

Hybrid

USD 88,000 - 105,000

Full time

14 days+
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Benefits offered by this job

Medical
Dental
401K plans
Discretionary bonus

Job summary

Mizuho Financial Group, Inc. is seeking a Data Engineer to design and develop enterprise data solutions on the Databricks Lakehouse platform.

You will ingest, transform, validate, and steward data for reporting and analytics across the firm, with a focus on accuracy, scalability, and timely delivery. You will collaborate with global teams, run pipelines, and contribute to governance and best practices while learning the Data Mesh approach and medallion architecture.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • Master's degree preferred.
  • Proven experience in data engineering or related roles.

Responsibilities

  • Build and maintain ingestion pipelines landing raw data into Bronze layer.
  • Support Silver layer transformations: cleansing, deduplication, schema enforcement.
  • Write SQL and PySpark for transformation tasks.
  • Run and monitor scheduled jobs; investigate pipeline failures.
  • Document pipeline logic, transformations, and fixes.
  • Participate in code reviews and learn team standards for version control, testing, and deployment.

Skills

Foundational SQL
Python
Core data concepts
Databricks
Git/version control
Cloud technologies

Education

Bachelor's degree in CS/Engineering/IS
Master's degree preferred

Tools

Databricks
Azure Data Factory
SSIS
Apache Spark

Job description

Mizuho Financial Group, Inc. is seeking a Data Engineer to design and develop enterprise data solutions on the Databricks Lakehouse platform.

You will ingest, transform, validate, and steward data for reporting and analytics across the firm, with a focus on accuracy, scalability, and timely delivery. You will collaborate with global teams, run pipelines, and contribute to governance and best practices while learning the Data Mesh approach and medallion architecture.

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