2 дня назад
Snowflake Data Engineering Consultant (Banking)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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