Associate Data Engineer

About Zscaler

Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity.

Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability. 

We champion an “AI Forward, People First” philosophy to help us accelerate and innovate, empowering our people to embrace their potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler to help shape the future of cybersecurity.

Role 

We are looking for an Associate Data Engineer to join our IT Data Strategy department. This is a hybrid role based in Bangalore, Pune, or Mohali, reporting to the Principal Data Engineer. 

You will be a key member of our Enterprise AI Data Platform team, designing robust unstructured data pipelines for processing and ingestion into Vector and Graph databases. You will collaborate cross-functionally to shape our data infrastructure and drive the technical evolution of our data capabilities.

What you’ll do (Role Expectations)

• Collaborate with Data & Technical architects, integration, and engineering teams to capture data pipeline requirements and develop technical solutions
• Profile and quantify the quality of data sources while building data pipelines for integration into Vector DB, Graph DB, and the Snowflake Enterprise Warehouse
• Partner with the Data Platform Lead to design and implement data management standards and best practices
• Build in-house products that drive scalability and efficiency across the company to enable growth and operational excellence
• Develop large-scale and mission-critical data pipelines using modern cloud and big data architectures while continuously learning next-generation technologies

Who You Are (Success Profile)

• You are a problem-solver who seeks out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a learner with a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate.
• You are a positive force who approaches hard problems with constructive energy and a 'can-do' spirit that inspires your team to stay focused on the solution.
• You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation through secure and scalable ways.
• You are a pragmatic builder obsessed with creating, iterating, and shipping, balancing technical excellence with the need to deliver value to users quickly.

What We’re Looking for (Minimum Qualifications)

• Foundational knowledge of DBMS concepts including normalization, denormalization, relation models, ACID principles, and transactions
• Understanding of distributed data processing frameworks such as Apache Spark, Hadoop, or Apache Flink
• Proficiency in Python coding
• Experience with SQL and scripting languages such as Korn Shell or Scala
• Hands-on experience with Python orchestration frameworks like Airflow, Prefect, or Dagster, or specialized AI tools like LangChain and AutoGen

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Ray or Dask for scalable Python applications within AI/ML contexts
• Familiarity with Model Context Protocol (MCP) for agent context management
• Knowledge of Streamlit for building interactive data applications and dashboards

#LI-Hybrid 

#LI-RR1

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

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.