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
#5464702
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.
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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