Pyspark Google Cloud Platform data engineer (Onsite in NY)

Sleepy Hollow, NY, US • Posted 2 days ago • Updated 2 days ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • BigQuery
  • Cloud Storage
  • Dataflow
  • SQL
  • Spark
  • Python
  • PySpark

Summary

  • 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, PySparkand 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91138681
  • Position Id: 9063181
  • Posted 2 days ago
Contact the job poster
DA

Dinesh Agarwal

Recruiter @ EdgeAll
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