Summary

Posted: Jul 30, 2024
Weekly Hours: 40
Role Number:200560735

There is a great opportunity for a talented Data Engineer with a proven track record of delivering high volume data and data pipeline solutions and architecture. The role requires in-depth knowledge with cutting-edge big data technologies. Tuning, troubleshooting and scaling these big data technologies, where having a curiosity with the internal workings of these systems is key to being successful.

Description


This is a hard-core software engineering role, where a large part of an engineer's time is spent writing code with the remainder being spent on designing and architecting systems, tuning and debugging big data systems, supporting production systems and engaging in ML advancements. The ideal candidate will have cloud, preferably AWS experience, and a team player with a forward thinking mindset, ability and confidence to challenge the status quo to define future visions. The position is based in India and forms part of the global Apple Online Store team.

Minimum Qualifications


  • 4-6 years programming experience with Java / Python
  • Familiar with Machine Leaning concepts
  • Good Experience with Realtime Stream Data Processing
  • Good experience with Hadoop/Spark Ecosystem


Preferred Qualifications


  • Cloud experience, ideally with AWS services
  • Excellent communication and collaborative skills
  • Evaluating and defining requirements and problem statements
  • Developing technical documentation, diagrams & flowcharts
  • Good understanding of distributed messaging systems (Kafka, Solace etc.)
  • Comfortable building and maintaining CloudFormation templates, Ansible playbooks and scripts to automate and deploy AWS resources and configuration changes
  • Experience with developing Machine Learning pipelines
  • Familiar with GenAI concepts
  • Experience of a major relational or NoSQL database (e.g. Oracle / Cassandra)
  • AWS certified



Location

Hyderabad, Telangana, India

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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