Sr. Software Engineer (Data), Ai & Data Platforms

Sr. Software Engineer (Data), Ai & Data Platforms

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. 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.

At Apple, extraordinary ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. If you are looking to tackle infrastructure problems at scale, both on-prem or in cloud, focusing on ease of use, ease of maintenance and most importantly implement solutions that are scalable, you will have fun in AiDP!

Description

We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. On our team you will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform. This is a hard-core software engineering role. A large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.

Minimum Qualifications

• 7 or more years of experience building enterprise level applications on large-scale distributed systems with a bachelor's degree in Computer Science or equivalent experience.
• Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake or Big Query or Cloudera.
• Programming experience in building high quality software. Proficiency in at-least one of the following programming languages - Python, Scala or Java.
• Strong hands-on experience in designing and development of cloud-based applications that include large scale compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
• Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.

Preferred Qualifications

• Experience in Enterprise-ready Cloud Data-Warehousing platforms like Snowflake is highly valued.
• Hands-on knowledge of Spark cluster-computing framework & Kubernetes or similar containerization technologies.
• Experience developing Big Data applications using Java, Spark, Kafka is a huge plus.
• Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving.
• Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud.
• Data Visualization Tools: Proficient in data visualization, with experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker.
• Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.