Sales - Software Engineer (Data), PART

Apple Inc.; Singapore; On-site; USD 80,000 - 120,000; Full time

Job summary

A leading company seeks a Software Engineer in Singapore to develop scalable cloud-based data applications. In this role, you will design, build, and support solutions that integrate advanced technologies with internal ecosystems. Candidates should have a strong background in cloud platforms, programming, and data management, with a track record of delivering impactful solutions.

Qualifications

• 4+ years in enterprise-level data applications on distributed systems.
• Experience with BI concepts and cloud databases.
• Knowledge of cloud platforms: AWS, Azure, Google Cloud.

Responsibilities

• Build and integrate software solutions on cloud platforms.
• Drive development of new components/features from design to release.
• Support production applications and user experience.

Skills

Cloud technology

Programming in Python

SQL development

Data visualization

Problem solving

Education

Bachelor’s degree in Computer Science

Tools

Snowflake

Big Query

Spark

Tableau

Kubernetes

Job description

Singapore, Singapore Software and Services

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.This role 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 challenging software engineering role, where 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

• 4 or more years of experience building enterprise-level data applications on distributed systems
• Knowledge of BI concepts and Implementation experience on Cloud with databases like SnowFlake or Big Query
• Programming experience with Python, Scala or Java.
• Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications
• Bachelor’s degree in Computer Science or equivalent experience

Preferred Qualifications

• Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
• Experience in 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: 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.