Job Description

Design and implement secure, scalable, high-performance and robust data services in distributed data processing platforms using modern Big Data technologies. Maintain and enhance a platform to collect and ingest several billion (and growing) log events from our globally distributed cloud infrastructure and provide actionable insights and visibility to our customers and researchers. Design, extend, and review data architecture, model, flow, and integration - be hands on and involved with every stage of the software development life cycle. Partner with software engineers and data scientists to meet the need of upstream and downstream dependencies. Develop state of the art code - influence/establish the software development culture of the team. Establish standards and best practice for software engineering. Keep up to date with the evolving Big Data technology, share the knowledge acrossthe organization by enabling best practices, standards, governed processes andrelevant technologies. Participate in agile/iterative development cycles with emphasis on code quality,supportability, scalability, and performance. Qualifications Location: Hyderabad Only Exp - 12+ years Must-Have Skills: Strong working knowledge of Apache Spark and Delta Lake for reliable data lakes. Expert-level coding with Python Experience with GraphDB or other graph databases. Demonstrable experience in building large language models such as GPT-3 or GPT-4, including tuning and optimizing such models. Strong background in data science, including expertise in Python or other relevant programming languages. Proficient understanding of machine learning principles and capable of implementing common machine learning algorithms. Experience with machine learning frameworks like TensorFlow, PyTorch, etc. Good understanding of Natural Language Processing (NLP) techniques. Strong problem-solving abilities and analytical skills. Good-to-Have Skills: Familiarity with cloud computing platforms such as AWS, GCP, or Azure. Knowledge of Java, Microservices, and APIs. Knowledge of pipeline orchestration tools like Kubeflow, Airflow, or others Experience with data visualization tools and techniques. Familiarity with advanced machine learning concepts like reinforcement learning deep learning Exposure to managing or working in cross-functional teams. Understanding of ZTNA Additional Information 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 . Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration 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 characteristics protected by federal, state, or local laws.

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