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Data Engineer

3 months ago

San Jose, California, United States Zscaler Full time

About Zscaler

Zscaler is a leading company in accelerating digital transformation for customers, making them more agile, efficient, resilient, and secure. Their Zero Trust Exchange platform, a cloud-native solution, protects numerous customers worldwide from cyber threats and data loss by securely connecting users, devices, and applications regardless of location.

With over a decade of expertise in cloud operations, Zscaler serves a vast number of enterprise clients globally, including 450 top-tier organizations on the Forbes Global 2000 list. In addition to safeguarding customers against harmful risks like ransomware and data breaches, Zscaler focuses on reducing costs, simplifying processes, and enhancing user experience by eliminating latency-inducing gateway appliances.

Zscaler, established in 2007, aims to create a secure cloud environment for business transactions and improve the enterprise user experience. Their security platform is custom-built to place defenses and controls at internet connection points, ensuring fast and secure connections regardless of user location or application deployment.

Position: Data Engineer

Location: Remote within United States

Job Description

  • Collaborate with Data & Technical architects, integration, and engineering teams to define inbound/outbound data pipeline requirements, conceptualize, and implement solutions.
  • Assist in evaluating and adopting current and future data technologies to meet Zscaler's evolving business needs.
  • Work closely with IT, applications engineering, enterprise data engineering, and business data partner teams to outline data source requirements.
  • Analyze and improve data source quality, develop data preparation tools, and construct data pipelines for integration into Zscaler's Snowflake data warehouse.
  • Enhance existing data integrations, models, and views while developing new features to address business requirements.
  • Collaborate with the Data Platform Lead to establish data management standards and best practices.
  • Stay updated on next-generation technologies and data capabilities to enhance data engineering solutions.
  • Develop large-scale data pipelines using modern cloud and big data architectures.
Qualifications/Background:
  • 4+ years of experience in data warehouse design and development.
  • Expertise in building data pipelines to integrate business applications (e.g., Salesforce, Netsuite, Google Analytics) with Snowflake.
  • Proficient in data modeling techniques (Dimensional) and writing efficient queries on extensive datasets.
  • Hands-on experience in Python for API data extraction and pipeline creation.
  • Advanced skills in SQL, Python/Snowpark/Scala, ML libraries.
  • Experience with ELT tools like Matillion, Fivetran, Talend, IDMC, data transformational tool DBT, and AWS services.
  • Familiarity with CI/CD processes, git versioning, Snowflake concepts, SQL optimization, and data visualization tools like Tableau and Power BI.
  • Knowledge of data orchestration workflows using tools like Apache Airflow, Prefect.
  • Strong analytical skills, detail-oriented, team player, and ability to manage multiple projects simultaneously.

Zscaler offers competitive salary packages based on role and level, ensuring fairness and accounting for various factors such as skills, experience, and education. The displayed salary range reflects initial target figures for new hires across all US locations.

The listed base salary range for this full-time position excludes commission, bonus, equity (if applicable), and includes benefits.

Applying for this opportunity implies compliance with relevant laws, regulations, and Zscaler policies, particularly those related to security and privacy standards. Zscaler values diversity and is dedicated to fostering an inclusive workplace environment. All qualified candidates receive equal employment opportunities regardless of race, color, religion, gender, age, or other legally protected characteristics.

Zscaler adheres to pay transparency regulations at the federal, state, and local levels. For more information on federal requirements, refer to the provided link.

Zscaler is committed to offering reasonable support during recruitment for candidates with disabilities, long-term conditions, mental health disorders, religious beliefs, neurodivergence, or pregnancy-related needs.