Senior Data Engineer

Vallum Associates
Cardiff, UK
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Java (Programming Language) Big Data Cloud Computing Extract Transform Load (ETL) Data Warehousing Relational Databases IT Management SQL Stored Procedures SQL Databases Data Streaming Scripting Apache Beam

Job description

  • Evaluating and comprehending data and information from diverse sources and producing innovative, high-quality solutions to problems that meet Business requirements and drive forward the department strategy.
  • Complying with engineering, design and testing standards and practices, and with Admiral IT governance and architectural standards while performing in a heavily regulated environment.
  • Acting on core engineering principles and values (accountability, transparency, consistency, quality, re-usability and an automate where possible attitude).
  • Actively participating in Squad, Chapter and Guild ceremonies and activities.
  • Working as part of a team, being a supportive team member with a positive attitude, engaging with and contributing to company culture and team spirit.
  • Collaboration with all levels of seniority across IT and the wider Business.
  • Being proactive and a self-learner, experimenting and learning from failure, and applying and sharing technical expertise at every opportunity.
  • Being creative, inquisitive, and pushing the boundaries, improving processes at any opportunity.
  • Taking initiative with effective decision making to enable the progression of the department strategy.
  • Being passionate about business intelligence and data.

Requirements

  • Essential skills/knowledge/experience: Senior Data Engineer having extensive experience in GCP(Google Cloud Platform) data area or any Cloud experience.
  • Creating effective technological solutions for work with big data.
  • Hands-on experience with Python scripting.
  • Hands-on experience on Java.
  • Hands-on experience on Data Flow or Apache Beam.
  • Deep understanding of data concepts primarily inclined towards ETL.
  • Hands-on with ETL/DWH and SQL (any RDBMS)
  • Hands-on experience with any DB should be able to read/understand/alter stored procedures.

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