Quantexa Data Engineer
at Capgemini
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 29 Jul, 2024 | Not Specified | 02 May, 2024 | N/A | Operations,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,Software | No | No |
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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