Software Engineer (Cloud Data Platform), Ai & Data Platforms
Austin, Texas, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Apr 25, 2024Role Number:200548830
Do you love understanding every detail of how new technologies work? Join the team that serves as Apple’s nerve center, our Information Systems and Technology group. There are countless ways you’ll contribute here, whether you’re coordinating technology needs for product launches, designing music solutions for retail locations, or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe, you’ll help design and manage the massive systems that countless employees and customers rely on every day. You’ll also build custom tools for employees, empowering them to solve complex problems on their own. Join our team, and together we’ll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. The Global Business Intelligence team provides data services, analytics, reporting, and data science solutions to Apple’s business groups, including Retail, iTunes, Marketing, AppleCare, Operations, Finance, and Sales. These solutions are built on top of a great data platform and leverage multiple frameworks. This position is an extraordinary opportunity for a proficient, experienced, and results-oriented data platform engineer to solve database design and optimization problems and provide a scalable, high-performance and dynamic Enterprise Data Warehouse (EDW) platform!
Key Qualifications
- 3+ years experience in relational cloud based database technologies like Snowflake (preferred), Teradata, BigQuery or Redshift
- Demonstrated ability working with Advanced SQL
- Shown experience handling DBA functions, DR strategy, data security, governance, associated automation and tooling for a database platform
- Experience in performance tuning, capacity planning, managing cloud spend and utilization
- Experience with object oriented programming in Python or Java
- Experience with SaaS/PaaS enterprise services on GCP/AWS or Azure is a plus
- Familiarity with in-memory database platforms like SingleStore is a plus
- Experience with Business intelligence (BI) platforms like Tableau, Thought-Spot and Business Objects is a plus
- Good communication and personal skills: ability to interact and work well with members of other functional groups in a project team and a strong sense of project ownership.
Description
As a Cloud Data Platform Engineer, you will be responsible for leading all aspects of a database platform. This would include either database design, database security, DR strategy, develop standard processes, new feature evaluations or analyze workloads to identify optimization opportunities at a system and application level. You will be driving automation efforts to effectively manage the database platform, and build self service solutions for users. You will also be partnering with development teams, product managers and business users to review the solution design being deployed and provide recommendations to optimize and tune. This role will also address any platform wide performance and stability issues. We're looking for an individual who loves to take challenges, takes on problems with imaginative solutions, works well in collaborative teams to build and support a large Enterprise Data Warehouse.
Education & Experience
Bachelor’s Degree in Computer Science, equivalent or related field
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure BigQuery Business Intelligence Computer Science Data warehouse Finance GCP Java Python Redshift Security Snowflake SQL Tableau Teradata
Region:
North America
Country:
United States
Job stats:
2
0
0
Categories:
Deep Learning Jobs
Engineering Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs