Job Title: Dataiku
Developer
Location: Stamford, CT / Remote
Job Type: Contract (C2C)
Job
Description
We are seeking an experienced
Dataiku Developer to join our Data Management team. The ideal candidate
will have strong expertise in Dataiku DSS, data engineering, and Azure data
services, with the ability to design, develop, and optimize enterprise-scale
data pipelines and workflows.
Key
Responsibilities
- Collaborate closely with business and technical
teams to review, challenge, and optimize pipeline design and
implementation decisions.
- Design, develop, and maintain scalable,
efficient, and reusable data workflows using Dataiku DSS.
- Lead architectural discussions and establish
best practices for Dataiku-based data solutions.
- Provide technical guidance on data wrangling,
workflow orchestration, and platform integrations.
- Develop and optimize ETL/ELT processes to
support data transformation and analytics requirements.
- Integrate Dataiku with Azure data services and
external APIs.
- Ensure solutions comply with enterprise data
governance, security, and regulatory requirements.
- Act as a technical advisor to the Data
Management team, supporting solution design and delivery.
- Document technical designs, architectural
decisions, and implementation standards.
- Mentor team members and promote knowledge
sharing across the organization.
Required
Qualifications
- 4-6+ years of experience in Data Engineering,
Data Architecture, or related fields.
- Strong hands-on experience with Dataiku DSS
for designing and managing production-grade data pipelines and workflows.
- Experience working as a Data Architect or Data
Engineer in enterprise environments.
- Solid understanding of ETL/ELT concepts,
data modeling, and SQL development.
- Hands-on experience with the Microsoft Azure
Data Ecosystem, including:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure SQL Database
- Azure Data Lake Storage
- Strong proficiency in Python and SQL
scripting.
- Experience with REST API integrations and data
exchange frameworks.
- Ability to evaluate multiple technical
approaches and recommend optimal solutions.
- Understanding of data visualization, analytics,
and modern data engineering practices.
- Excellent communication, collaboration, and
mentoring skills.
Preferred
Qualifications
- Experience in Financial Services or other
highly regulated industries.
- Exposure to enterprise data governance and
compliance frameworks.
- Experience supporting cloud-based data
modernization initiatives.
Required
Skills
- Dataiku DSS
- Python
- SQL
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure SQL
- Azure Data Lake
- ETL/ELT Development
- Data Modeling
- API Integration
- Data Engineering & Architecture
Feel free to let me know if
you have any question.