The people here at Apple dont just build products they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here.
Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on groundbreaking big data technologies? Then we are looking for you.
Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Business Intelligence team is looking for passionate, technical savvy, energetic leader who likes to think creatively. We seek someone who is self motivated and ready to lead a team of most talented engineers, building high quality, scalable and resilient distributed systems that power Apple's analytics platform and data pipelines.
Apple's Enterprise Data warehouse landscape caters to a wide variety of real- time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We use diverse technology stacks such as Snowflake, AWS, Teradata, HANA, Vertica, Single Store, Dremio, Hadoop, Kafka, Spark, Cassandra and beyond. Designing, Developing and scaling these big data technologies are a core part of our daily job
As Data Engineering Manager you would lead a Data Warehouse/Business Intelligence development team in building Analytics solutions for Apple
- Lead the design for database and data pipeline/ETL using emerging technologies and tools
- Lead the reporting and dashboarding solutions using innovative packaged and custom-built tools
- Drive the team to develop operationally efficient analytic solutions
Manage resources/budget and partner with global functional and business teams. Manage multiple teams and projects
- Define standards, methodologies for Data Warehousing environment
- Design and build highly scalable data pipelines using new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems
- Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
- Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Should have strong ability to manage stakeholder communication & risk management
- Lead and mentor people and plan their career growth and focus on creating a cohesive team environment
- Thrives in a dynamic environment, maintaining composure and a positive attitude.
source https://stackoverflow.com/jobs/529463/data-engineering-manager-apple?a=2Rz3F72rXM1G&so_medium=Talent&so_source=TalentApi
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