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Snowflake Data EngineerDiverse LynxUnited States
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Snowflake Data Engineer

Diverse Lynx
  • US
    United States
  • US
    United States

About

Job Title: Snowflake Data Engineer Location: Stamford, CT ( Remote ) Position : ( C2C Role ) Duration : ( 6+ Months) Pay Range : $50 - 70/Hr
Skills:
Python, Snowflake, ETL/ELT.
Job Description:
Design, develop, and maintain ETL/ELT pipelines using Snowflake, SQL, Python, and/or cloud services preferably AWS Build and optimize data models (staging, warehouse, Datamarts) using best practices such as micro partitioning, clustering, and performance tuning. Develop and manage data ingestion workflows from structured and semi structured sources (JSON, Parquet, XML, APIs, etc.). Implementation of business requirements using Snowflake features such as Streams, Tasks, Time Travel, Zero Copy Cloning, and Snowpipe for automated data loads. Collaborate with Data architects, analysts, and business stakeholders to translate requirements into scalable technical solutions. Monitor and Troubleshoot pipelines for failures and issues ensuring data quality and integrity. Document data flows, transformations, and technical processes for maintainability and knowledge sharing Excellent analytical skills and strong understanding of SQL/PLSQL Job scheduling and orchestration using industry standard tools
Skills/Technology: Hands-on experience with Cloud based Database, preferably Snowflake Excellent SQL / PL SQL skills Basic understanding on AWS Experience on orchestration / scheduling tool, preferably Tidal Experience on Python is an advantage Working experience on Data Warehousing and Modeling Basic understanding of Banking terminology
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
  • United States

Languages

  • English
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