Senior Data Engineer

Chandigarh, India

Applications have closed

Zscaler

Zscaler is the leader in cybersecurity and zero trust digital transformation. Transform your IT and security needs with the best CASB and SASE solutions.

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Company Description

For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose-built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,900 companies and have detected 100 Million threats/day. 

We work in a fast-paced, dynamic and make it happen culture. Our people are some of the brightest and passionate in the industry that thrives on being the first to solve problems.  We are always looking to hire highly passionate, collaborative and humble people that want to make a difference.

Job Description

Responsibilities/What You’ll Do

  • Collaborate with Data & Technical architects, integration and engineering teams to capture inbound/outbound data pipeline requirements, conceptualize and develop solutions.
  • Support the evaluation and implementation of the current and future data applications/technologies to support the evolving Zscaler business needs.
  • Collaborate with IT business engagement & applications engineer teams, enterprise data engineering and business data partner teams to identify data source requirements.
  • Profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating into Zscaler’s data warehouse in Snowflake.
  • Continuously optimize existing data integrations, data models and views while developing new features and capabilities to meet our business partners needs.
  • Work with Principal Engineer/ Data Platform Lead to design and implement data management standards and best practices.
  • Continue to learn and develop next generation technology/ data capabilities that enhance our data engineering solutions.
  • Develop large scale and mission-critical data pipelines using modern cloud and big data architectures.

Qualifications

Qualifications/Your Background:

  • 8+ years of experience in data warehouse design & development.
  • Proficiency in building data pipelines to integrate business applications (salesforce, Netsuite, Google Analytics etc) with Snowflake
  • Strong hands-on experience in modern data stack tools like Keboola, Matillion, Airbyte, IICS, DBT
  • Must have proficiency in SQL and data modeling techniques (Dimensional) – able to write structured and efficient queries on large data sets
  • Must have hands-on experience in Python to extract data from APIs, build data pipelines.
  • Solid understanding of advanced snowflake concepts like Streams, tasks, warehouse optimizations, SQL tuning/pruning
  • Familiarity with data mesh style architecture.
  • Experience in using data orchestration workflows using open-source tools Apache Airflow, Prefect is a plus
  • Experience in using data catalog tools is a plus.
  • Knowledge of data visualization tools such as Tableau, and/or Power BI
  • Must demonstrate good analytical skills, should be detail-oriented, team-player and must have ability to manage multiple projects simultaneously.

Additional Information

#LI-NT1

 

Why Zscaler?

People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team. 

Zscaler thrives on differences and believes those differences are critical to our success as a global company.  Zscaler is proud to be an equal opportunity workplace that seeks to recruit, develop, and retain the most talented people from a variety of backgrounds, perspectives, and skills.  We therefore encourage applications from all genders, races, religions, ages, and sexual orientations, as well as parents, veterans, people living with disabilities, and any other groups that could bring diverse perspectives to our business.

Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com

Zscaler is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Why Zscaler?

People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team. 

Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com

Zscaler is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please contact us by sending an email to accommodations@zscaler.com.   This email address is used specifically for accommodation requests only, and resumes, CV's, or questions other than accommodations will not be replied to or accepted.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow APIs Architecture Big Data Data management Data pipelines Data visualization Data warehouse Engineering Excel Matillion Open Source Pipelines Power BI Python Salesforce Security Snowflake SQL Tableau

Region: Asia/Pacific
Country: India
Job stats:  4  0  0
Category: Engineering Jobs

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