Data Engineer
Data Engineer
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1 Vacancy
Job Description
About Netskope
Today theres more data and users outside the enterprise than inside causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed one that is built in the cloud and follows and protects data wherever it goes so we started Netskope to redefine Cloud Network and Data Security.
Since 2012 we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara St. Louis Bangalore London Paris Melbourne Taipei and Tokyo. Our core values are openness honesty and transparency and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships collaboration and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON) we strive to keep work fun supportive and interactive.Visit us atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
Position Summary
We are seeking a talented and motivatedData Engineer to join our this role you will design build and maintain scalable and efficient data pipelines enabling our organization to make data-driven decisions. You will work closely with product owners data analysts BI teams and other stakeholders to ensure data availability reliability and security across the organization.
Key Responsibilities
- Design build test and maintain robust scalable and high-performance data pipelines for ingesting transforming and loading data from various sources (e.g. databases APIs cloud storage).
- Develop and optimize ETL/ELT workflows to integrate data from diverse sources into centralized repositories like data warehouses and data lakes.
- Build and optimize data models schemas and repositories to support operational analytical and reporting use cases.
- Implement and manage automated data quality checks and monitoring systems to ensure accuracy consistency and integrity.
- Work closely with BI teams data scientists analysts and other stakeholders to understand business needs translate requirements and deliver scalable data solutions.
- Optimize data systems for performance scalability cost-efficiency and reliability in batch and streaming environments.
- Create and maintain cloud-based infrastructure leveraging CI/CD frameworks and automation best practices for deployment and operation.
- Embed end-to-end data security and privacy measures while adhering to regulatory standards and best practices.
- Proactively troubleshoot resolve data-related issues and refactor legacy systems to align with modern frameworks and infrastructure.
- Maintain comprehensive documentation for workflows and systems actively contribute to team ceremonies and stay updated on emerging data engineering technologies and best practices.
Qualifications
Required:
- Bachelors or Masters degree in Computer Science Engineering or related field.
- 3 years as a Data Engineer or in a similar role.
- Proficiency in Python and SQL and potentially Java/Scala.
- Extensive experience with building maintaining and troubleshooting pipelines in Spark.
- Strong experience with cloud platforms (AWS Azure GCP) and their data tools.
- Expertise in building and managing ETL/ELT processes.
- Strong understanding of data modeling warehousing and architecture.
- Experience with tools like Airflow dbt Fivetran
- Strong analytical problem-solving communication and teamwork abilities.
- Experience with data warehousing and data lake technologies (e.g. Snowflake Redshift Databricks AWS S3).
- Fluent in English
Preferred:
- Masters degree in Computer Science Data Engineering or a related field.
- Experience with data versioning orchestration and CI/CD for data pipelines.
- Knowledge of machine learning workflows and integrating data pipelines with ML models.
- Familiarity with data visualization tools (e.g. Tableau Power BI Looker).
- Certifications in relevant technologies such as AWS Certified Data Analytics or Google Cloud Professional Data Engineer.
About You
You are a detail-oriented innovative and self-driven professional with a passion for building scalable data solutions. You thrive in a collaborative environment leveraging your expertise to solve complex data challenges and drive impactful outcomes. With a deep understanding of modern data technologies you are committed to delivering high-quality reliable and efficient data infrastructure that supports business goals.
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Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion race color sex marital or veteran statues age national origin ancestry physical or mental disability medical condition sexual orientation gender identity/expression genetic information pregnancy (including childbirth lactation and related medical conditions) or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
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Employment Type
Full Time
