WNS

Lead Data Engineer

London, United Kingdom · On-site · Full-time

Posted over 6 months ago: check it’s still open

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerWNS
  • LocationLondon, United Kingdom
  • Work styleOn-site
  • Employment typeFull-time
  • Employer posted

Please Note that this is a 4 Day Work from Office Role in Central London & 1 Day work from Home

Key Responsibilities

  • Feature development, issue resolution, and daily monitoring on cloud delta lakehouse data platform.
  • Operate as part of an agile technical team participating in all agile team ceremonies such as daily stand up meetings and backlog refinement sessions.
  • Lead Architectural decisions, mentor junior engineers and contribute to establishing engineering standards, documentation, and reusable frameworks.

Experience

  • Overall 10+yrs experience in data engineering.
  • At least five years of experience working in a data warehouse solution landscape.
  • Proven ability to lead complex data initiatives and drive architectural decisions.
  • Experienced with agile delivery methodologies, ideally SCRUM/Kanban.
  • Be able to assume ownership of data issues, perform investigation and root cause analysis, and implement remediation through code and data changes.
  • Understanding of data warehouse testing strategies and quality assurance processes.
  • Good understanding of git branching strategies and code management.
  • Good understanding of technical release management processes in Azure DevOps.
  • Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams.
Show full description
  • A bachelor's or master's degree in computer science, data management, information systems industry approved; relevant data solutions development qualifications (e.g. Microsoft certification; Databricks Certification; data apprenticeship qualifications)

Tech Stack

  • SQL Server, SSIS, T-SQL
  • ADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lake

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At a glance

  • Work styleOn-site
  • Employment typeFull-time
  • SeniorityMid level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Azure Spark Scrum

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