Senior Business Intelligence Engineer - Lagos

Only for registered members Lagos, Nigeria

1 month ago

Default job background
₦4,800,000 - ₦9,600,000 (NGN) per year *
* This salary range is an estimation made by beBee

Job summary

We have reached an inflection point where we need to take our data game to the next level. Instead of just providing data to our various departments, we need to start bringing to bear more sophisticated techniques to unlock the potential of our significant data sets. We are yet to fully realise the potential energy of these data sets. The Senior Engineer will help to lead the charge on this transformation, bringing experience to bear, both on the systems themselves, as well as mentoring and developing other team members.

Responsibilities

  • Build next generation event-driven data processing pipelines that cleanse, enrich, and aggregate a range of different data sets as part of a globally distributed and cross-functional software development organisation
  • Deploy these data pipelines in line with continuous delivery practices and principles
  • Improve the scalability, stability, accuracy, and efficiency of our existing data platform - it's not all just green field
  • Develop and mentor other members of the business intelligence department
  • Monitor our data platforms in order to identify and resolve issues and ensure high-availability of data insights
  • Communicate with stakeholders to develop requirements, implement solutions, and collaborate on rollouts

Qualifications

  • 5+ years of enterprise work experience in business intelligence, data engineering, and advanced analytics
  • 2+ years of commercial, enterprise experience building data pipelines using Apache Spark and Python (future platform). Familiarity using these tools to consume data from RabbitMQ or Kafka is a plus.
  • Experience with one or more types of NoSQL databases and data lakes
  • Comfort with version control and continuous delivery
  • Familiarity with relational databases, ETL, and reporting tools. Preference for Microsoft technologies (we currently use Microsoft SQL Server 2016/2019, SSIS, and SSRS)
  • Fluency with warehouse design and dimension modelling (star schemas, snowflakes, etc)
  • Experience or interest in results-driven, lean/agile environments
  • Basic DBA skills
  • Ability to prioritize and execute tasks in a fast-paced environment

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