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Sportsbook – Senior Data Engineer

Discussion
  • Maintaining and evolving data structures
  • Building new ETL flows and maintaining or improving existing ones
  • Designing new data structures and data modelling concepts
  • Ensuring data quality by verifying data consistency and accuracy
  • Creating data validation methods
  • Writing, optimizing, and maintaining stored procedures
  • Investigating, assessing, and developing message-based architectures for data streams
  • Working under Agile Framework (Scrum 2-week iterations)
  • Troubleshooting problems and incident management with an investigative mindset
  • Documenting necessary processes and procedures including creating KBs, runbooks, topology
  • Taking full ownership of projects and tasks within the team
  • Working closely with stakeholders to deliver accurate and timely insights to business partners
  • Advanced T-SQL coding
  • Experience with relational and non-relational databases, specifically MSSQL 2014 – 2017
  • Familiarity with ETL process (SSIS)
  • Familiarity with Data Warehouse and ETL concepts
  • Familiarity with data modelling concepts
  • Familiarity with reporting and analytical tools (SSRS/SSAS)
  • Experience with software versioning tools like Git
  • Knowledge in core database development tuning techniques
  • Continuous learning mindset
  • Ability to effectively prioritize and handle multiple tasks and projects
  • Excellent verbal and written English communication skills
  • Automation and scripting skills
  • Additional programming skills such as .NET, Python, R, Scala
  • Knowledge of Big Data concepts and data streaming architectures
  • Working in a fast-paced, innovative environment with a global network of offices
  • Being part of a diverse, international team with more than 2,800 colleagues representing over 75 nationalities
  • Opportunities for growth and new challenges
  • Operational headquarters located in Malta with 1,500 employees

See also

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