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2 дня назад

Snowflake Data Engineering Consultant (Banking)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Snowflake Data Engineering Consultant (Snowflake/Banking): Building scalable enterprise analytics solutions from Jack Henry core banking data and ancillary sources with an accent on dimensional modeling, dbt pipelines, and semi-structured data transformation. Focus on optimizing Snowflake performance and security, implementing automated data quality testing, and modeling complex financial data for production analytics.

Location: Onsite in San Antonio, Texas, United States

Company

hirify.global is a digital innovation and enterprise AI services provider helping startups and enterprises solve complex business and technology challenges.

What you will do

  • Architect and build Kimball dimensional models around Jack Henry core banking structures, including accounts, transactions, customer profiles, and general ledger data.
  • Design dbt transformation pipelines that integrate third-party feeds with core banking data.
  • Develop, test, document, and maintain modular production dbt models with automated data quality checks.
  • Process, flatten, and model JSON and relational API payloads in collaboration with Python developers.
  • Optimize Snowflake virtual warehouses, clustering, query execution, and role-based access controls for banking analytics.

Requirements

  • 3+ years of relevant experience in analytics or data engineering.
  • Direct experience with Jack Henry data structures or similar core financial platforms.
  • Deep expertise in Snowflake architecture, complex SQL, and semi-structured JSON/VARIANT data.
  • Production experience building dbt models, automated data quality tests, and technical documentation.
  • Strong knowledge of Kimball methodology, slowly changing dimensions, and financial data modeling.
  • Hands-on familiarity with Python API ingestion workflows, GitHub, Postman, Azure, and hybrid Linux environments.

Culture & Benefits

  • Advanced training and opportunities to apply technical knowledge to real business solutions.
  • Work with startup and enterprise customers on complex digital challenges.
  • Entrepreneurial environment promoting self-reliance, open communication, and collaboration.
  • Full-time employment for a 12+ month engagement.

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