Why This Role Stands Out
This hybrid role at EdgeAll offers a fantastic opportunity to leverage your extensive PySpark and Google Cloud Platform expertise to build impactful data solutions within a reputable financial services firm, with a competitive compensation package. You'll thrive here if you have a strong background in data engineering and a passion for designing robust data frameworks, contributing to innovative projects in a dynamic environment. Embrace this chance to advance your career and apply today!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Sleepy Hollow, NY, United States
Posted
4 weeks ago
SQLETLLookerPCI DSSSOC 2AirflowBigQueryGDPRGoogle CloudPythondbt
Job Description
- 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
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