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Performance Engineer - Data Engineering

Performance Engineer - Data Engineering

Apple

5 - 10 years

7 - 12 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

automation data management data modeling testing tools debugging performance testing olap analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 innovative 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.

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.

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Performance Engineer - Data Engineering