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Onsite // Data Engineer (Snowflake, Python)
Onsite // Data Engineer (Snowflake, Python)Talent Groups • Sunnyvale, CA, United States
Onsite / / Data Engineer (Snowflake, Python)

Onsite / / Data Engineer (Snowflake, Python)

Talent Groups • Sunnyvale, CA, United States
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Onsite

Data Engineer (Snowflake, Python)

Full time

Sunnyvale, CA

Job Description

We are seeking a highly skilled Data Engineer with strong hands-on experience in Snowflake , Python , and SQL to support data platform development, pipeline optimization, and large-scale data processing. This role requires deep technical expertise, strong problem-solving skills, and the ability to collaborate closely with data analytics, product, and engineering teams.

Key Responsibilities

  • Design, build, and maintain scalable ETL / ELT pipelines using Python and Snowflake.
  • Develop and optimize complex SQL queries for data transformation and analytics.
  • Implement data ingestion frameworks, staging layers, and warehouse models in Snowflake.
  • Ensure data quality, validation, and monitoring across pipelines and datasets.
  • Work with cross-functional teams to gather requirements and deliver high-quality data solutions.
  • Optimize Snowflake performance through clustering, partitioning, query tuning, and cost management.
  • Automate workflows using Python scripts and orchestration tools (Airflow, ADF, etc. – optional depending on need).
  • Support data governance, security, and compliance across all data assets.

Required Skills & Qualifications

  • Strong proficiency in SQL (joins, window functions, performance tuning).
  • Hands-on development experience with Snowflake (warehouse design, Snowflake SQL, Snowpipe, Streams / Tasks).
  • Strong programming experience in Python (data processing, automation, APIs).
  • Experience with ETL / ELT development and data modeling principles.
  • Understanding of cloud data ecosystems (AWS, GCP, or Azure).
  • Solid problem-solving, debugging, and performance optimization skills.

    • Preferred Qualifications

  • Experience with orchestration tools (Airflow, Azure Data Factory, or similar).
  • Familiarity with CI / CD workflows and DevOps practices.
  • Experience working with BI tools (Tableau, Power BI, Looker).
  • Background in analytics engineering or modern data stack environments.
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    Data Engineer Python • Sunnyvale, CA, United States

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