Dataiku Developer
Job Location:
Job Location:
Stamford, CT - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
10 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
ROLEDESCRIPTION -
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
Qualifications
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
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
Qualifications
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
