Apple Hiring Cloud Data Engineer Apply now

Apple Inc. is an American multinational technology company that specializes in consumer electronics, software & online services headquartered in California, United States. Apple is the largest technology company by revenue & as of May 2022, it is the world’s second most valuable company. the fourth-largest personal computer vendor by unit sales & second-largest mobile phone manufacturer. It is one of the Big Five American information technology companies, alongside Alphabet, Amazon, Meta, & Microsoft

Job description

as a Cloud Development Engineer you will design, develop and implement modern cloud data warehouse/ databases and influence overall data strategy for the organization Translate sophisticated business requirements into scalable technical solutions meeting data warehousing/analytics design standards Strong understanding of analytics needs and proactive-ness to build solutions to improve the efficiency along with that help execute leading data practices & standards Collaborate with multiple multi-functional teams and work on solutions which has a larger impact on Apple business Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams You will engage with many other group’s & internal/external teams to deliver best-in-class products in an exciting constantly evolving environment

Job Role & Responsbility

High expertise in modern cloud data lakes and implementation experience on any of the cloud platforms like AWS/GCP/Azure – preferably AWS.

Good Experience in a cloud-based data warehouse – Snowflake.

Hands-on Experience in developing and building data pipelines on Cloud & Hybrid infrastructure for analytical needs- Preferably having Cloud certifications.

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 Teradata/ SingleStore/ Hadoop

Experience working with data at scale (Peta bytes) with big data tech stack and sophisticated programming languages is a plus e:g Python, Scala.

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