Senior Cloud Analytics Engineer Job Vacancy in Ralph Lauren Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : Ralph Lauren
Location : Bengaluru, Karnataka
Position :
Job Description : Position Overview
Strong experience supporting and working with cross-functional teams in a dynamic business environment.
Required to have the ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company.
Is a confident, energetic self-starter, with strong interpersonal skills.
Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.
Essential Duties & Responsibilities
Work with a culture of continuous improvement to deliver the highest performance and availability from our data platforms.
Drive Automation through effective metadata management: The data engineer will be responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
Lead the solutioning and root cause analysis of tickets/issues raised by business related to our data pipelines across flow across different systems and tools used across the Analytics team including AWS Redshift, MicroStrategy, Airflow, AWS Elastic Map Reduce, AWS Kinesis, etc. Accountable for performance, availability, uptime and cost of the environment. Accountable for the systems roadmap and platform upgrades. Drive continuous improvement in cost and performance.
Lead the solution design of any optimization exercises taken up by the team, advise the Engineering manager on solution paths to adapt and technologies to use in consultation with the cloud architecture team
Mentor junior members of the team through the development process and if necessary, review code on an on going basis.
Experience, Skills & Knowledge
The ideal candidate will have a combination of BI and Data Engineering skills with a technical or computer science degree.
Strong experience on working with AWS stack is required.
Strong experience in Lean Six Sigma and/or Agile development is preferred.
Senior Cloud Analytics Engineer
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