Data Engineering Manager

Hyderabad, Telangana, India
Corporate Functions


Role Number:200161156
The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s 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 cellular technologies, want to make an impact and have the desire to work on groundbreaking cellular technologies? Then we are looking for you. 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 Business Intelligence team is looking for highly motivated, detail-oriented, technical savvy, energetic leader who like to think outside the box and want to lead a team with many exciting responsibilities which include 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 leverage a diverse technology stacks such as Teradata, HANA, Vertica, Hadoop, Kafka, Spark, Cassandra and beyond. Designing, Developing and scaling these big data technologies are a core part of our daily job

Key Qualifications

  • Leadership skills including establishing the team and platform. As a Data Engineering Leader, you will be responsible for hiring, training and providing technical direction to the team.
  • In-depth understanding of data structures and algorithms
  • Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data
  • Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hadoop
  • Programming experience in building high quality applications, data pipelines and analytics solutions. Experience in developing Big Data applications using java, Spark, Hive, Oozie, Kafka, and Map Reduce is a huge plus
  • Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus
  • Demonstrate strong understanding of development processes and agile methodologies
  • Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly


Lead Data Warehouse/Business Intelligence development team in developing solutions 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 data structures on MPP platform like Teradata, Hadoop to provide efficient reporting and analytics capability Design and build highly scalable data pipelines using new generation tools and technologies like 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 Lead and mentor people and plan their career growth and focus on creating a cohesive team environment

Education & Experience

Bachelor’s Degree or Equivalent with 8+ years of experience in data engineering, computer science or statistics field with at least 2+ years of experience in leadership/management

Additional Requirements