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Senior Data Engineer

Senior Data Engineer

GXBankPetaling Jaya, Selangor, Malaysia
30+ days ago
Job description

Join to apply for the Senior Data Engineer role at GXBank

Join to apply for the Senior Data Engineer role at GXBank

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  • Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs.
  • Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications.
  • Design and implement scripts, ETL jobs, data models, etc.
  • Provide horizontal, organisational-wide visibility through metric measurements and insights regionally across different functions and teams.
  • Develop and uphold best practices with respect to change management, documentation and data protocols.
  • Identify system and application metrics, develop dashboards and set up alerts for metrics and thresholds.
  • Participate in technical and product discussions, code reviews, and on-call support activities.

Get To Know The Role

  • Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs.
  • Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications.
  • Design and implement scripts, ETL jobs, data models, etc.
  • Provide horizontal, organisational-wide visibility through metric measurements and insights regionally across different functions and teams.
  • Develop and uphold best practices with respect to change management, documentation and data protocols.
  • Identify system and application metrics, develop dashboards and set up alerts for metrics and thresholds.
  • Participate in technical and product discussions, code reviews, and on-call support activities.
  • The Must Haves

  • Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field.
  • At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions.
  • Sound knowledge of data warehousing concepts, data modelling / architecture and SQL.
  • Ability to work in a fast-paced agile development environment.
  • Knowledge of programming languages such as Java, Scala, Python, etc.
  • Understanding of performance, scalability and reliability concepts.
  • Experience with relational as well as NoSQL data stores.
  • Experience with Big Data frameworks such as Hadoop, Spark, etc.
  • Experience with Stream processing technologies such as Kafka, Spark streams, etc.
  • Experience with performance tuning & query optimisation of data warehouse systems.
  • Experience with Cloud technologies such as Azure, AWS, etc. would be nice to have.
  • Ability to drive initiatives and work independently.
  • Team player who can liaison with various stakeholders across the organisation.
  • Excellent written and verbal communication skills.
  • Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Information Technology

    Industries

    Banking

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