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Snowflake Developer

Prominds Business Consulting Inc
New York, NY, United States
13 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Airflow Amazon Web Services Microsoft Azure Information Engineering Extract Transform Load (ETL) Data Warehousing Database Queries Performance Tuning SQL Databases Talend Google Cloud Informatica Powercenter
+4 more
Snowflake Git Star Schema Software Version Control

Requirements

  • 5+ years of experience in data warehousing or data engineering
  • Hands-on experience with Snowflake (SQL, virtual warehouses, stages, streams, tasks)
  • Strong SQL skills (advanced queries, performance tuning)
  • Experience with cloud platforms: AWS, Azure, or Google Cloud Platform
  • Knowledge of ETL/ELT tools (dbt, Informatica, Talend, Matillion, Airflow, etc.)
  • Understanding of data modeling concepts (star/snowflake schemas)
  • Experience with version control systems (Git)
  • Strong problem-solving and analytical skills

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

7:27 min

How Git architecture fundamentally exposes historical code secrets

Dwayne Mcdaniel · LIVE

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

How a Small Team Shrank a Microsoft Monorepo by 94% thumbnail
33:23
Coffee With Developers • almost 2 years ago

How a Small Team Shrank a Microsoft Monorepo by 94%

Jonathan Creamer

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41
World Congress 2024 • about 2 years ago

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy

Git for Code Reviews thumbnail
24:19
World Congress 2022 • over 4 years ago

Git for Code Reviews

Johannes Haux

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

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