State Street

ETL Developer – Team Lead

9 April 2024
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Deadline date:
£99000 - £143000 / year

Job Description

Who we are looking for:

Looking for a strong database engineer worked on experience in Snowflake, Oracle. cloud engineer worked on various cloud migration and implementation at large scale. Have experienced on Azure cloud primarily on the architecture, design and implementation.

Highly-motivated and thrive in an environment that challenges the status quo
Committed to leading and delivering high quality software engineering teams
Passionate about cloud and big data technologies.

Proficient building, deploying and managing highly scalable cloud platforms
Have a strong interest in learning and innovating
Manage team and interact across teams to ensure best practices are followed
 
As Senior Database engineer you will:

Analyze design and develop cloud solutions following the industry and company best practices.
Should be able to work independently and collaboratively.
Manage your efforts within the agile team and outside agile to ensure tasks are completed successfully by deadlines.
Work in complex environment with multi location teams.
Provide advanced technical expertise in designing, estimating, and developing software applications to project schedule.
Retain accountability for the overall delivery.
 
These skills will help you succeed in this role with:

  • 7+ overall experience in the industry
  • Good Analytical skills.
  • Must have experience in writing complex quires using PL/ SQL.
  • Knowledge in Azure is must.
  • Knowledge in Snowflake is must.
  • Knowledge in AKS is must.
  • Understanding the CI/CD on GIT, HELM and Azure DevOps is an added advantage.
  • Strong background of computer science fundamentals, data structures, and algorithms.
  • Taking Ownership, Problem solving, and working Collaboratively are important skills in this role
  • Should have one of the cloud certification.
  • Having hands on and design experience AKS is a plus.
  • 5+ years of experience in relational (SQL, Oracle and PostgreSQL), NoSQL, and data warehouse technologies and in-memory databases.