Data Engineer - Contractor

Netskope

4.5

(6)

St. Louis, MO

Why you should apply for a job to Netskope:

  • 4.5/5 in overall job satisfaction
  • 4.3/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 83% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible Paid Time Off & Quarterly Global Wellness Days
  • Infertility Coverage (PPO) & Paid Parental Leave
  • Awesome Women of Netskope (ERG) for social events, forums & mentorship
  • #5475493

    Position summary

    s to manage currency of data pipelines.

    • Data Transformation: Clean, normalize, and enrich data to ensure its suitability for analysis.
    • Data Storage: Design, implement, and manage data storage solutions for replication and flexibility.
    • ETL (Extract, Transform, Load): Create and maintain ETL processes to extract, transform, and load data into target storage systems.
    • Data Modeling: Define data schemas and structures to support efficient querying and analysis.
    • Data Quality and Governance: Implement data validation, profiling, and quality checks to ensure data accuracy and compliance with data governance policies.
    • Ad Hoc Data Analysis and Clean Up: Build and conduct various ad hoc queries, summaries, and analysis which may lead to data clean-up activities to standardize and normalize the data.
    • Performance Optimization: Optimize data infrastructure for scalability and efficiency.
    • Security and Compliance: Implement data security measures to ensure data compliance.
    • Collaboration: Work closely with GTM Strategy & Planning, Data Operations, Marketing Operations, SFDC/Systems Operations, Sales Operations, and Channel Operations team to understand data requirements and advise/provide the necessary infrastructure and data workflows to support business processes.
    • Scalability: Design data workflows to support business processes inclusive of large volumes/bulk data sets for efficiencies, automation and growth.

    Requirements:

    •  Proven experience as a data engineer, working with GTM data sets and tools (https://e.g., SFDC).
    •  Proficiency in SQL and data modeling.
    • Strong programming skills, with knowledge of languages like Python, Java.
    • Experience with ETL tools and data pipeline orchestration, including internal/external data sets (https://e.g., KNIME, Alteryx, Tableau Data Prep, etc.).
    • Familiarity with databases (https://e.g., SQL) and data lake (https://e.g., Snowflake) technologies.
    • Knowledge of data security and compliance best practices.
    • Strong problem-solving and verbal/written communication skills.
    • Ability to work collaboratively in a global team environment.

    Education:

    • Bachelor's or higher degree in Computer Science, Information Technology, or a related field.

    #LI-AF1

    Why you should apply for a job to Netskope:

  • 4.5/5 in overall job satisfaction
  • 4.3/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 83% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible Paid Time Off & Quarterly Global Wellness Days
  • Infertility Coverage (PPO) & Paid Parental Leave
  • Awesome Women of Netskope (ERG) for social events, forums & mentorship