Demo

Senior Data Engineer with Snowflake and AI/ML Expertise

A-1 Consulting Inc, Atlanta, GA
New, NY Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/14/2025

Greetings!

We are excited to present an opportunity for a talented Senior Data Engineer specializing in Snowflake's AI and ML capabilities. If you are passionate about data engineering and have relevant experience, we want to hear from you!

Position Overview :

As a Senior Data Engineer, you will leverage your expertise to design, build, and manage data pipelines and architectures that empower machine learning initiatives. Your role will be pivotal in connecting data science with operational efficiency.

Key Responsibilities :

  • Design and implement robust data pipelines in Snowflake Snowpark to enhance AI and ML workflows.
  • Develop and optimize ETL processes to facilitate efficient data ingestion and transformation.
  • Write clean and maintainable code in Python for automating data processes and model training.
  • Utilize SQL for effective data extraction, transformation, and reporting.
  • Monitor and improve the performance of data systems and machine learning models.
  • Ensure data quality and integrity throughout the entire data lifecycle.
  • Document processes, data flows, and model specifications for transparency and knowledge sharing.

Required Qualifications :

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong expertise in Snowflake and its AI and ML capabilities.
  • Familiarity with machine learning models such as Cosine Similarity, K-Nearest Neighbors (KNN), and Linear Regression.
  • Proficiency in Python for effective data manipulation.
  • Experience with Python's ML ecosystem, including libraries like scikit-learn, TensorFlow, and PyTorch.
  • Skilled in optimizing and fine-tuning models for performance, accuracy, and scalability.
  • Strong SQL skills for data querying and management.
  • Experience with data modeling and principles of database design.
  • Knowledge of data warehousing concepts and best practices.
  • Preferred Qualifications :

  • Experience with additional programming languages, such as Java or R, is a plus.
  • Familiarity with the AWS cloud platform and its data engineering and ML tools, such as Sagemaker.
  • Understanding of data governance and compliance standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
  • Location : NYC, NY (Hybrid - 3 days onsite & 2 days remote)

    Note : This position is open to U.S. Citizens and Green Card holders.

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