Snowflake Data Engineer

SFE PARTNERS LLC
Charlotte, NC, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Cloud Computing Information Systems Information Engineering Extract Transform Load (ETL) Data Warehousing Python (Programming Language) NoSQL
+14 more
Standard Sql Software Engineering SQL Databases Workflow Management Systems Scripting Google Cloud Large Language Models Snowflake Apache Spark Generative AI Information Technology Apache Kafka Data Pipelines Databricks

Requirements

Must Have Technical/Functional Skills

  • Data engineer experience, SQL, AWS, Python
  • Data Engineering practices, combined with hands-on exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, and AI-driven data pipelines., * 6+ years of data engineering experience
  • 3+ year of experience working in a data engineering, data science, or software engineering capacity
  • Expertise in writing and maintaining robust data pipelines in SQL and Python
  • A track record of turning data requirements from stakeholders into actionable plans
  • Experience with cloud-native solutions
  • A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability

Preferred Qualifications

  • Bachelor’s degree, or Master’s degree in computer science, statistics, information systems, or a related, technical field
  • Experience with a scripting language (e.g., Python, Java, or R), * 5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
  • Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
  • Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
  • Strong skills in Python, Java, or Scala.
  • Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.

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