Job Description
Job Title: Dataiku Developer
Duration- Fulltime Permanent
Location: Stamford, CT (Onsite From Day 1)
Job Description:
Dataiku Developer
Must Have Technical/Functional Skills
Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
Ensure solutions align with enterprise data governance, security, and compliance standards.
Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
Document architectural decisions and promote knowledge sharing across the team
Roles & Responsibilities
5+ years in data architecture, engineering, or related roles.
Proven experience as a Data Architect in enterprise environments, ideally in financial services.
Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
Solid understanding of ETL/ELT, data modeling, and SQL.
Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
Strong knowledge of Python and SQL scripting; experience with API integrations.
Ability to evaluate multiple implementation approaches and recommend optimal solutions. Exposure to data visualization and data engineering practices. Excellent communication skills, with the ability to mentor.
Generic Managerial Skills, If any
Creative thinking.
Building and managing relationships.
Emotional agility.
Technology Business Requirements Definition, Analysis and Mapping.
Adaptability.
Learning Agility.
Duration- Fulltime Permanent
Location: Stamford, CT (Onsite From Day 1)
Job Description:
Dataiku Developer
- Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
- Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
- Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
- Ensure solutions align with enterprise data governance, security, and compliance standards.
- Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
Must Have Technical/Functional Skills
Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
Ensure solutions align with enterprise data governance, security, and compliance standards.
Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
Document architectural decisions and promote knowledge sharing across the team
Roles & Responsibilities
5+ years in data architecture, engineering, or related roles.
Proven experience as a Data Architect in enterprise environments, ideally in financial services.
Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
Solid understanding of ETL/ELT, data modeling, and SQL.
Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
Strong knowledge of Python and SQL scripting; experience with API integrations.
Ability to evaluate multiple implementation approaches and recommend optimal solutions. Exposure to data visualization and data engineering practices. Excellent communication skills, with the ability to mentor.
Generic Managerial Skills, If any
Creative thinking.
Building and managing relationships.
Emotional agility.
Technology Business Requirements Definition, Analysis and Mapping.
Adaptability.
Learning Agility.
Numbers & Facts
| Location | Stamford, CT |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
Skills
- Application Programming Interface (API)unmatched
- Architectural Servicesunmatched
- Best Practicesunmatched
- Communication Skillsunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Visualizationunmatched
- DataArchitect Data Modeling Toolunmatched
- Database Extract Transform and Load (ETL)unmatched
- Enterprise Architectureunmatched
- Financial Servicesunmatched
- Information/Data Security (InfoSec)unmatched
- Mentoringunmatched
- Problem Solving Skillsunmatched
- Regulatory Complianceunmatched
- Relationship Managementunmatched
- SQL (Structured Query Language)unmatched
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