Only w2 Candidate -- Snowflake Data engineer (Onsite in NYC,NY)

NYC, NY, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
12 Months
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Snowflake
  • Data engineer
  • SQL
  • ETL
  • Python
  • Cloud

Summary

  • A Snowflake Data engineer who designs, builds, and optimizes cloud-based data warehouses and ELT data pipelines
  • They are responsible for writing advanced SQL, creating views, Normalizations, managing data ingestion, and ensuring data security and platform performance.

Key Responsibilities

  • Data Pipelines: Build, maintain, and optimize robust ELT pipelines to process large volumes of structured and semi-structured data.
  • Snowflake Architecture: Configure and manage virtual warehouses, stages, Snowpipe, streams, and tasks.
  • SQL Development: Write clean, highly optimized SQL queries, stored procedures, and User-Defined Functions (UDFs).
  • Performance Tuning: Monitor query performance and apply tuning techniques like clustering keys, materialized views, and result caching.
  • Security & Governance: Implement Role-Based Access Control (RBAC), row/column-level security, and data masking.
  • Integration & Transformation: Work with transformation tools like dbt, or use Snowpark with Python/Java for advanced analytics.

Essential Qualifications

  • Experience: 4+ to 5+ years of hands-on experience building cloud-native data platforms, with at least 3+ years specifically in Snowflake.
  • Technical Skills: Advanced SQL, Data Modeling (Star/Snowflake schema), and scripting (Python, Bash).
  • Tools: Proficiency with cloud environments (AWS, Azure, or Google Cloud Platform) and ELT/ETL integration tools.
  • Soft Skills: Strong analytical problem-solving, capability to translate business requirements into technical data structures, and Agile/Scrum team collaboration.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91138681
  • Position Id: 9034652
  • Posted 12 hours ago
Contact the job poster
DA

Dinesh Agarwal

Recruiter @ EdgeAll
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