Zscaler Associate Data Engineer position offers an incredible opportunity to join the world’s largest cloud security platform and work on cutting-edge Enterprise AI Data Platform. This hybrid role based in Bangalore, Pune, or Mohali is perfect for talented data engineers passionate about building robust unstructured data pipelines, Vector databases, Graph databases, and leveraging modern big data technologies to drive innovation in cybersecurity.
Job Details
| Company | Zscaler |
| Job Role | Associate Data Engineer |
| Location | Bangalore, Mohali, Pune |
| Experience | Fresher to 2 years |
| Salary | ₹11-20 lakhs per annum (As per industry standards for Associate Data Engineers in India) |
| Employment Type | Full-time |
| Last Date to Apply | Not Mentioned |
About The Company
Zscaler is a pioneer and global leader in zero trust security, operating the world’s largest cloud security platform across more than 160 data centers globally. The company serves the world’s largest businesses, critical infrastructure organizations, and government agencies, processing over 500 billion transactions daily and preventing more than 9 billion security incidents and policy violations each day.
Zscaler’s Zero Trust Exchange platform combined with advanced AI empowers enterprises to secure users, branches, applications, and data while accelerating digital transformation initiatives. With offices in Bangalore, Pune, and Mohali, Zscaler India provides a collaborative environment focused on customer obsession, innovation, and execution. The company champions an “AI Forward, People First” philosophy, making it an ideal workplace for professionals looking to shape the future of cybersecurity.
Eligibility Criteria
Education:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related fields
- Strong academic background with focus on database management systems and distributed computing
Experience:
- Fresh graduates are encouraged to apply
- 0-2 years of experience in data engineering or related fields preferred
- Hands-on project experience with data pipelines is advantageous
Skills:
- 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
- Familiarity with specialized AI tools like LangChain and AutoGen
- Strong problem-solving and analytical abilities
- Excellent communication and collaboration skills
Certifications:
Relevant certifications in data engineering, cloud platforms (AWS, Azure, GCP), or big data technologies are advantageous.
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Roles & Responsibilities
- Collaborate with Data & Technical architects, integration, and engineering teams to capture data pipeline requirements and develop technical solutions
- Design robust unstructured data pipelines for processing and ingestion into Vector and Graph databases
- 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
- Continuously learn and implement next-generation technologies in the AI and data engineering space
- Ensure data quality, integrity, and security across all pipeline implementations
- Document technical specifications and maintain comprehensive pipeline documentation
- Participate in code reviews and contribute to team knowledge sharing
Selection Process
- Online Application: Submit your application through Zscaler’s Greenhouse career portal with required documents
- Resume Screening: Initial screening based on educational qualifications, technical skills, and relevant experience
- Technical Assessment: Evaluation of Python coding, SQL, data structures, and problem-solving abilities
- Technical Interviews: Multiple rounds focusing on DBMS concepts, distributed systems, data pipeline design, and hands-on coding
- Behavioral Interview: Assessment of problem-solving approach, learning mindset, team collaboration, and cultural fit
- HR Interview: Discussion about role expectations, career goals, compensation, and joining formalities
- Final Offer: Selected candidates receive comprehensive offer letters with benefits details
How to Apply For Zscaler Associate Data Engineer
Interested candidates can apply for the Associate Data Engineer position at Zscaler through the following steps:
- Visit the official Zscaler Greenhouse job portal: Application Link given below
- Click on the “Apply” button on the job posting page
- Fill in your personal details including First Name, Last Name, Email, Phone, and Country
- Upload your updated resume/CV highlighting your data engineering projects, Python skills, and relevant coursework
- Attach a cover letter (optional but recommended) explaining your interest in the role
- Provide your website or portfolio link if available
- Share your LinkedIn profile URL for professional background verification
- Answer the required questions about how you learned about the job, work authorization, and visa requirements
- Select your preferred work location (Bangalore, Pune, or Mohali)
- Review all information for accuracy before final submission
- Submit your application and track status through email notifications
Alternatively, visit https://www.zscaler.com/careers to explore all Zscaler career opportunities.
Preparation Tips
- Master Python Programming: Focus on advanced Python concepts, data structures, algorithms, and libraries like Pandas, NumPy for data manipulation
- Study Database Fundamentals: Thoroughly understand DBMS concepts, normalization techniques, ACID properties, and transaction management
- Learn Distributed Systems: Gain hands-on experience with Apache Spark, Hadoop, or Apache Flink through online courses and projects
- Practice SQL: Solve complex SQL queries, optimize query performance, and understand database indexing strategies
- Explore Orchestration Tools: Build sample projects using Airflow, Prefect, or Dagster to understand workflow management
- Understand Vector & Graph Databases: Research Vector databases (Pinecone, Weaviate) and Graph databases (Neo4j) for AI applications
- Build Portfolio Projects: Create data pipeline projects showcasing ETL processes, data quality checks, and cloud deployment
- Learn Cloud Platforms: Familiarize yourself with AWS, Azure, or GCP data services like S3, Redshift, BigQuery, Snowflake
- Study AI Tools: Explore LangChain, AutoGen, Ray, or Dask for AI/ML context management
- Practice Coding Challenges: Solve data engineering problems on platforms like LeetCode, HackerRank, and StrataScratch
- Research Zscaler: Understand Zscaler’s Zero Trust architecture, products, and cybersecurity solutions
- Develop Soft Skills: Practice problem-solving communication, demonstrate growth mindset, and showcase collaborative abilities
Important Dates
| Application Start Date | 16th January 2026 |
| Last Date to Apply | Rolling basis (Apply early as positions fill quickly) |
| Exam/Interview Date | Will be communicated to shortlisted candidates via email |
Zscaler offers comprehensive and inclusive benefits including various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, and in-office perks. The company is committed to building diverse teams that reflect the communities they serve, fostering an inclusive environment that values all backgrounds and perspectives. With over 100 patents and continuous innovation in cloud security, Zscaler provides unparalleled learning opportunities for data engineers passionate about AI, security, and scalable systems.
