Quantexa Data Engineer

at  Capgemini

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate29 Jul, 2024Not Specified02 May, 2024N/AOperations,Cloud,Elasticsearch,Design,Communication Skills,Python,Spark,Scala,It,Connectivity,Agile Environment,Platforms,Technology,Strategy,Relational Databases,Customer Insight,Teams,Hadoop,Looker,Data Structures,Fraud,SoftwareNoNo
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Description:

KNOWLEDGE & SKILLS

  • Proven big data experience, either from an implementation or a data science perspective.
  • Experience in working in an Agile environment.
  • Expert knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
  • A strong coding background in either Java, Python or Scala
  • Consulting or business facing skills and a desire to work with customers
  • Strong SQL and Excel skills.
  • Familiarity with BI tools e.g., Tableau, Looker.
  • Experience with sanctions screening, payment filtering, and transaction monitoring systems.
  • Prior experience working as a Quantexa Data Scientist or Data Engineer.
  • Deep understanding of data structures, relational databases, and data mapping exercises.
  • Ability to resolve technical issues, understand technical architectures at a basic level.
  • Prior involvement in data-specific projects, with exposure to fraud, financial crime, customer insight or compliance-based environments that utilize detection.
  • Strong verbal and written (English) communication skills required.
  • Ability to work in teams of various sizes, including cross-functional teams.

Responsibilities:

KEY RESPONSIBILITIES

  • Work as part of a team of data scientists and data engineers, helping solve complex compliance issues from strategic roadmap to implementation.
  • Develop custom data solutions as needed using scripting languages like Scala, Spark, Python, and SQL.
  • Build, and maintain scalable, efficient source to surveillance data pipelines within the Quantexa environment.
  • Aid in the orchestration of ETL/ELT pipelines
  • Implement data quality checks and monitoring processes to ensure the integrity and reliability of data.
  • Proactively identify and address data quality issues and performance bottlenecks Write efficient, clean, and well documented code for data pipelines.
  • Track and document work done and communicate progress with relevant users in a timely manner.
  • Build and maintain effective relationships with clients, colleagues, and other stakeholders to enable open dialogue, win trust and become a trusted business partner.
  • Maintain an effective professional network to stay informed of developments within the industry.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Proficient

1

London, United Kingdom