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Senior Data Engineer, Global Business Intelligence

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. 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 Global Business Intelligence (GBI) team is seeking a Data Engineer to build high quality, scalable and resilient solutions that empowers the business. 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 leverage a diverse technology stacks such as Snowflake, AWS, Teradata, HANA, Hadoop, Kafka, Spark, Cassandra and beyond. Designing, Developing and scaling these big data technologies are a core part of our daily job. The ideal candidate for this position, should have passion for data, will be able think outside of the box and should have passion for building analytics solutions to enable our business partners to make time sensitive and critical decisions.
Key Qualifications
  • Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data a plus
  • Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hadoop (we need to add aspects of cloud)
  • Programming experience in building high quality software. Skills with Java, Python or Scala preferred
  • Experience in designing and developing ETL data pipelines. Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs
  • Demonstrate strong understanding of development processes and agile methodologies
  • Strong analytical and communication skills
  • Self-driven, highly motivated and ability to learn quick
  • Experience with or advanced courses on data science and machine learning is a plus
  • Work/project experience with big data and advanced programming languages is a plus
  • Experience developing Big Data/Hadoop applications using java, Spark, hive, oozie, Kafka, and Map Reduce is a huge plus
  • Experience with Tableau and BO a plus
Design and build data structures on MPP platform like Teradata or , Hadoop to provide efficient reporting and analytics capability Design and build highly scalable data pipelines using new generation tools and technologies like SparkSpark and , Kafka Translate complex business requirements into scalable technical solutions, meeting data warehousing design standards Strong understanding of analytics needs and a proactive approach, focusing on reusable solutions to improve the efficiency Build dashboards using Self-Service tools like Tableau and perform iterative data analysis to support business Collaborate with multiple cross functional teams and work on solutions which has larger impact on Apple business
Education & Experience
Bachelor’s Degree
Additional Requirements
  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. We at Apple we are committed to working with and providing reasonable accommodation

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