Associate Data Engineer
Confirmed live in the last 24 hours
Zscaler
Job Description
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. 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 value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and 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 Yo
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