Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 2 Month(s)
No Travel Required
Skills
Business Intelligence
BI
ETL
Dataiku
Dataiku DSS
Informatica
Alteryx
Job Details
Business Intelligence/ETL Developer with Dataiku Expertise
Location: Remote
Duration: 1-2 months with possible extension
We are seeking a highly skilled Business Intelligence/ETL Developer specialized in Dataiku to join our team for a short-term project. The primary focus will be setting up a proof of concept for data controls and monitoring in the banking industry. This role is ideal for candidates who have a strong background in data architecture, are proficient in ETL processes, and are experienced in utilizing Dataiku for data management and analytics.
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- Configure Dataiku for optimal data validation, cleansing, and processing.
- Develop ETL processes tailored for financial data handling and reporting.
- Collaborate with stakeholders to understand data requirements and deliver high-quality BI solutions.
- Advise on best data architecture practices and recommend improvements for data flow and quality.
- Leverage analytics and machine learning capabilities within Dataiku to enhance data insights.
- Document all processes and provide clear reports for both technical and non-technical stakeholders.
- Extensive experience with Dataiku DSS, including configuring, administering, and developing within the platform.
- Proficiency in ETL tools such as Informatica, Alteryx, or Talend, with a strong preference for Informatica.
- Strong background in the banking sector, particularly with financial products like swaps.
- Excellent problem-solving skills and the ability to think analytically.
- Strong communication and interpersonal skills, capable of working effectively in a remote team environment.
- Familiarity with data governance and compliance requirements applicable in the banking industry.
- Experience with additional BI tools and data platforms.
- Prior experience setting up proofs of concept for business intelligence or data projects.
- Advanced degree in Computer Science, Data Science, Information Technology, or a related field.
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