Snowflake Developer

Posted on June 12, 2025

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Job Description

  • *Job Role:* Snowflake Developer
  • *Experience:* 3+
  • *Location:* Remote
  • *JD:*
  • Snowflake Developer
  • Role Overview
  • As a Snowflake Developer at Exelenter, you will design and implement scalable data solutions on the Snowflake platform, support Tableau dashboard development, and enable data-driven insights by translating user requirements into optimized SQL and ETL pipelines.
  • Responsibilities
  • Snowflake Design & Optimization
  • Architect and maintain scalable Snowflake databases, schemas, and data models.
  • Write, optimize, and sharpen complex SQL queries and stored procedures.
  • Tune performance via clustering keys, materialized views, resource monitors, and Snowflake-specific features (e.g. Time Travel, Zero?Copy Cloning).
  • ETL & Integration
  • Build robust ETL/ELT pipelines using Snowflake Streams, Tasks, Snowpipe, as well as Azure Data Factory.
  • Dashboarding
  • Collaborate with business teams to design and develop Tableau dashboards integrated with Snowflake queries.
  • Security & Compliance
  • Implement Snowflake roles, access controls, and encryption; enforce best practices in data governance and compliance.
  • Cross-functional Collaboration
  • Partner with data analysts, engineers, and stakeholders to translate requirements into technical specifications.
  • Documentation & Lifecycle
  • Produce design docs, unit test plans, and conduct code reviews as part of the DW lifecycle.
  • Monitor Snowflake usage, troubleshoot pipeline failures, and ensure operational excellence.
  • Continuous Learning
  • Stay up-to-date on Snowflake�s evolving features and best practices, driving continuous optimization and innovation.
  • Required Skills & Experience
  • Snowflake Expertise: 2�3 years in Snowflake, including warehousing, architecture, roles, schemas, Time Travel, Zero?Copy Cloning.
  • SQL Mastery: Strong experience in query writing, performance measuring, query tuning.
  • ETL & Integration: Well-versed in ETL pipelines, Snowflake streams/tasks, and data ingestion methodologies.
  • Scripting Languages: Proficiency in Python, Java, or JavaScript for automation and integration tasks.
  • Cloud Platforms: Experience with Azure services (Azure Data Factory) and familiarity with cloud architectures.
  • Data Modeling & Warehousing: Practical knowledge of data modeling, database design, and data warehousing principles.
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  • Security & Compliance: Strong understanding of data security, role-based access, and governance.
  • SQL Server / Business Intelligence: Experience in SQL Server best practices and familiarity with BI tools like Tableau.
  • : Preferred Qualifications
  • Tableau Expertise: Hands-on experience connecting Snowflake to Tableau and building dashboards.
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  • Performance & Cost Optimization: Track record of query and cost-tuning in cloud data platforms.
  • Data Migration: Demonstrated experience with large-scale data migrations into Snowflake.
  • Master Data & BI Architecture: Familiarity with master data management and BI architectures.
  • Agile Methodologies: Experience working in Scrum/Kanban/Lean environments.
  • Communication: Strong stakeholder management and documentation abilities.
  • Qualifications & Experience
  • 4�5 years of overall experience in data management and analytics, ideally in enterprise data warehouse environments.
  • 2�3 years of hands-on experience with Snowflake cloud platform.
  • Bachelor�s in Computer Science, Information Systems, or related field�preferred.

Required Skills

snowflake expertise: 2�3 years in snowflake including warehousing architecture roles schemas time travel zero?copy cloning. sql mastery: strong experience in query writing performance measuring query tuning. etl & integration: well-versed in etl pipelines snowflake streams/tasks and data ingestion methodologies. scripting languages: proficiency in python java or javascript for automation and integration tasks. cloud platforms: experience with azure services (azure data factory) and familiarity with cloud architectures. data modeling & warehousing: practical knowledge of data modeling database design and data warehousing principles.