Senior Business Intelligence Engineer

Há 4 dias


Porto, Porto, Portugal Capgemini Tempo inteiro
Job Description:

We are seeking a highly skilled Data & AI Engineer to join our team at Capgemini.

About the Role:

This is an exciting opportunity for a talented engineer to work on complex data projects, leveraging Scala and Spark technologies. As a Senior Business Intelligence Engineer, you will be responsible for designing and implementing scalable solutions to meet business requirements.

You will work closely with cross-functional teams to develop and maintain metadata, user access, and security controls. Your expertise in technical documentation, including data models, process flows, and system diagrams, will be essential in ensuring seamless project execution.

Key Responsibilities:
  • Develop high-performance Scala/Spark programs, scripts, and macros for data extraction, transformation, and analysis.
  • Design and implement solutions to meet business requirements, collaborating with stakeholders to ensure alignment.
  • Support and maintain existing Hadoop applications and related technologies, ensuring optimal performance and scalability.
  • Develop and maintain metadata, user access, and security controls, adhering to company standards.
  • Create technical documentation, including data models, process flows, and system diagrams, to facilitate knowledge sharing and project understanding.
Requirements:

To succeed in this role, you must have:

  • A minimum of 3-5 years of experience from Scala/Spark related projects and/or engagements.
  • Proficiency in creating Scala/Spark jobs for data transformation and aggregation, aligned with complex business requirements.
  • The ability to work in a fast-paced, agile environment with quick turnaround times and strict deadlines.
  • Strong unit testing skills for Scala code, ensuring reliability and stability.
  • Familiarity with CI/CD concepts and processes, including PR management, build triggering, and release deployment via Jenkins pipeline.
  • Excellent peer review skills, providing constructive feedback and contributing to code quality.
  • A solid understanding of Hadoop ecosystem components and related technologies.
Preferred Qualifications:

While not mandatory, having the following qualifications will be advantageous:

  • Relevant certifications (e.g., Scala, Spark, Hadoop, Performance).
  • Knowledge of other programming languages (e.g., Python, R).
  • Insight into cloud-based solutions, such as Snowflake.
  • Experience in Financial Services, preferably in the Credit risk domain.
What We Offer:

As a valued member of our team, you can expect:

  • A competitive estimated salary of $120,000 - $160,000 per annum, based on your experience and location.
  • A comprehensive benefits package, including medical, dental, and vision coverage.
  • Ongoing training and professional development opportunities.
  • A dynamic and supportive work environment.


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