Sr. Software Engineer (Data), Ai & Data Platforms
Apple
Summary
Description
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.
Key Qualifications
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.
Education & Experience
Additional Requirements
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