What are the responsibilities and job description for the Google Cloud Platform Data Engineer position at VeridianTech?
Job Details
Job Title: Google Cloud Platform Data Engineer
Location: Charlotte, NC/ Iselin, NJ / Dallas, TX
Duration: 12 months
Qualifications:
- Bachelor's or Master's degree in computer science, Information Systems, or a related field.
- 8 years of data engineering experience (at least 2 years in financial services or regulated environments).
- Expert knowledge of BigQuery, Cloud Storage, Dataflow, and Pub/Sub on Google Cloud Platform.
- Strong experience with SQL, Spark, Python, PySpark and data orchestration tools (Airflow, Cloud Composer, Dagster).
- Demonstrated success designing modular, reusable data frameworks and libraries.
- Deep understanding of data lake and warehousing concepts, ELT/ETL patterns, and financial data modeling.
- Familiarity with security standards and compliance frameworks (e.g., PCI DSS, GDPR, SOC 2, ISO 27001).
- Experience with real-time financial data streams (trading, payments, or fraud detection).
- Familiarity with risk and regulatory reporting systems (Basel II/III, MiFID II, CCAR, IFRS).
- Exposure to data science enablement, ML Ops/Data Ops. Example: building feature pipelines for credit risk, fraud, or customer analytics.
- Experience with dbt, Looker, or Looker Studio for semantic modeling and reporting
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