Data Warehouse Engineer (Redshift)

Technology Full-time Flexible Remote UTC-1 to UTC+3

+ Job Description

We are looking for a Data Warehouse Engineer (Redshift) who can prepare plans and ensure the implementation of EDW as per business requirements.

You will collaborate with our data engineer, developers and business analyst to prepare data models in Redshift and feed our Qlik applications. You’ll administer our Redshift cluster and its transformation layer in Airflow, eventually introducing best practices and tools to perform complex incremental transformations and events data models

This involves both ad-hoc requests as well as creating standard models that are used by multiple stakeholders across the organisation. You’ll support the business analyst to prepare data models to load in Qlik SaaS.


+ Responsibilities;

As the Data Warehouse Engineer you take ownership of Redshift data warehouse instance, its development and operation at Livespins. You’ll coordinate with developers and data engineers to maintain and develop data models in our data warehouse and feed our business intelligence application. Some of the tasks you will be responsible for:

  • Gather, document, and analyze various business requirements
  • Develop production-quality dimensional data models and data marts in Redshift
  • Create dimensions, measures and fact tables to feed our Qlik SaaS instance
  • Understand events data and suggest strategies for data ingestion
  • Develop methods and procedures to handle schema drift and monitor data quality


+ Skills;

  • Expert SQL programming skills, ability to read Python code would be beneficial
  • Experience using AWS services for data processing (i.e. EC2, S3, EMR, Redshift)
  • Extensive experience in building DAGs using Apache Airflow
  • Differences in modelling techniques for business transactions, events, and metrics
  • Use of dimensional modelling techniques for data warehouse analysis and design
  • Understanding master data management and its adoption in start-ups
  • Implementation and optimization considerations for warehousing data stores

+ What we offer

  • Private health insurance
  • Remote work
  • Flexible working hours
  • Equipment budget
  • A culture where 'the best idea wins'
  • Working on a truly exciting product
  • Attractive salary depending on experience
Please include your résumé when applying.

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