Apple is where individual imaginations gather together committing to the values that lead to great work Every recent product we build service we create or Apple Store experience we deliver is the result of us making each other s ideas stronger That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better It s the diversity of our people and their thinking that inspires the innovation that runs through everything we do When we bring everybody in we can do the best work of our lives Here you ll do more than join something - you ll add something Apple Pay brought mobile payment to millions of customers and it s just the beginning We are looking for engineers who enjoy both hands-on technical work and designing thoughtful scalable services for Wallet and Apple Pay Our team s vision is to be the engine of intelligent transformation leveraging a unified reliable data platform to build and deploy cutting-edge and solutions that drive significant business impact and enable data-driven decision-making throughout the organization Collaborate cross-functionally with architecture platform design and software teams to deliver exceptional end-to-end performance that delights our customers Description In this role you ll be responsible for the performance of one or more products Specifically you ll be tasked with ensuring the end-to-end performance of data consumption products This position demands technical expertise and depth to work on various elements of the stack from data storage to the platform to BI stack You ll collaborate with engineering teams to define the product and set its power and performance targets and with the operations team to assess end-to-end performance and develop automation and infrastructure tools to evaluate the performance of our data Intelligence products Strong problem-solving skills and effective communication are crucial for success in this role Responsibilities Be a domain expert in the data usage availability and data structure Setup the product performance tracking and active reporting Improve performance of BI application to visualize and provide insights Optimize data pipelines data storage and data access for Wallet Payments Commerce products Optimize OLAP queries to enhance data access latencies Develop tools and frameworks to optimize data processing performance Minimum Qualifications Bachelor s or Master s degree in Computer Science or a related technical field or equivalent experience 5 years of industry experience optimizing for CPU Memory and Latency issues 3 years of industry experience using profiling statistics visualization tools relevant to performance measurement and analysis Strong proficiency in SQL Scala Python or Java CI CD practices version control and API integrations Experience with performance testing tools used to track and assess application performance in various scenarios and configurations Strong proficiency with large datasets processing extraction analysis and reporting Knowledge data modeling data infrastructure analytics problem solving debugging testing writing and maintaining high quality code Ability to translating requirements into technical solution Preferred Qualifications Experience in Kubernetes and related containerization technologies such as Docker Familiarity with cloud platforms AWS Azure GCP and data management and analytics tools like Snowflake Databricks and Tableau Hands-on experience with big data technologies such as distributed querying Trino real-time analytics OLAP Proficiency with database query and crafting curated datasets Excellent verbal and written communication skills Familiarity with GenAI concepts like Retrieval-Augmented Generation RAG Large Language Models LLMs prompt engineering vector embeddings and LLM fine-tuning Background in micro-frontend architectures or modular front-end design patterns Familiar with in Git and CI CD tools Works independently with minimal oversight actively builds relationships and contributes to a positive team environment Seeks new opportunities for growth demonstrates a thorough understanding of technical concepts exercises independence in problem-solving and delivers impactful results at the team level Submit CV

📌 Performance Engineer - Data Engineering (Telangana)
🏢 Apple
📍 Telangana