Data Engineer

Company:
Location: Cork

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Summary

Posted: 30 Jan 2021
Weekly Hours: 39
Role Number:200218886
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there’s no telling what you could accomplish.Apple's Business Analytics (BA) team is seeking an experienced Data Engineer to be part of the Operations organisation, who will be responsible for shaping the underlying infrastructure which forms the platform behind highly optimised reporting & analytic solutions.Experience running services and infrastructure in public cloud providers is essential, and practical knowledge of how to develop and operate fault-tolerant and high-performance applications is highly valued. We are looking for someone with a consistent track record of building enterprise level applications — but we value potential as highly as experienceYou will drive development of new components and features from concept to release: design, build, test, and deliver at a regular cadence. You will work closely with internal customers, web developers, data analysts and data scientists to understand their requirements and workflows, and propose new features, ecosystem changes and technology options.
Key Qualifications
  • Strong understanding of infrastructure provisioning, cloud services in public cloud environments like AWS (preferred), GCP or Azure.
  • Strong hands-on experience in designing and development of cloud-based applications that include large scale compute services, database services, APIs to design RESTful services, ETL, queues and notification service.
  • Experience in Enterprise-ready Cloud Data-Warehousing platforms like Snowflake is highly valued.
  • Advanced database experience including knowledge of SQL and NoSQL, and related data stores.
  • Proficiency in any of the big-data platforms (Teradata / Hadoop / Cassandra / Single Store / etc.)
  • Hands-on knowledge of Kafka / Spark cluster-computing framework & Kubernetes or similar containerisation technologies.
  • Proficiency in key programming languages - Python (Preferred) / Java / Scala / etc.
  • Passion for writing high-quality, reliable code; unit and integration tests; and clear and concise documentation.
  • Strong Computer Science fundamentals and a pragmatic approach for building software.
  • Design and build new dimensional data models and schema designs to improve accessibility, efficiency, and quality of data
  • Translate complex business requirements into scalable technical solutions meeting Data warehousing standards
  • Strong understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
  • Secure and skilled at working in tandem with a team of engineers, or alone as required.
  • Excitement for Agile methodologies and continuous delivery of software.
  • Excellent communication and organisational skills, and the ability to stay focused on completing tasks and meeting goals within a busy workspace.
Description
A large part of the Data Engineer's time will be spent writing code and designing /developing applications, tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of cutting-edge technologies and cloud data platform with an aptitude to independently learn new technologies and contribute to the success of various initiatives.We are looking for a hardworking, passionate person who will be able think outside of the box and come up with solutions quickly to help business teams in making time sensitive decisions, have strong communication and analytical skills, always drives for excellence and is self motivated. If you feel this is you, we'd love to hear from you.
Education & Experience
- Bachelor's degree in Computer Science or equivalent experience.- 5 or more years experience building enterprise level applications on large-scale distributed systems.

*** Mention DataYoshi when applying ***

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