Snowflake & Python Data Engineer

DRC Systems

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profile Job Location:

Jersey, NJ - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Only W2 (No H1b No C2C No 1099)
Role: Snowflake & Python Data Engineer
Location: Jersey City NJ (Onsite / F2F Interview)

Job Description:
Weve refined the requirements to include additional technical expertise in PySpark Snowflake Cortex AI and modern Data Warehousing practices.
Additionally candidates with recent hands-on experience in will be highly advantageous.
The revised JD is included below and has also been updated in GH.
Job Requirements Senior Snowflake Data Engineer
  • 7 years of experience in data engineering or backend development roles
  • Strong hands-on experience with Python PySpark and Snowflake
  • Proven expertise in Snowflake data modeling performance tuning and optimization
  • Experience working with Snowflake Cortex AI or similar AI-enabled data platform capabilities
  • Solid understanding of modern data warehousing concepts (dimensional modeling ELT/ETL data marts optimization strategies)
  • Advanced SQL skills and experience designing scalable data models
  • Experience delivering end-to-end data engineering solutions in cloud-based environments
  • Working knowledge of for building or supporting data-driven front-end applications
  • Strong understanding of distributed data processing frameworks
  • Experience with cloud platforms (AWS Azure or GCP)
  • Strong understanding of data security governance and compliance best practices
  • Proven ability to collaborate effectively with cross-functional teams in complex enterprise environments
Only W2 (No H1b No C2C No 1099) Role: Snowflake & Python Data Engineer Location: Jersey City NJ (Onsite / F2F Interview) Job Description: Weve refined the requirements to include additional technical expertise in PySpark Snowflake Cortex AI and modern Data Warehousing practices. Additionally candid...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala