Dataiku Developer :: Remote

HIHope you are doing well!I have an urgent requirement with one of my clients. Please find the job details below and forward me your updated resume along with your contact details ajeet@realtekconsulting.netDataiku Developer Location :: Remote Primary Skill: Dataiku DSS Secondary Skills: Azure Data Services, SQL, Python, ETL/ELT, Data ModelingRole OverviewWe are seeking an experienced Dataiku Developer to design, develop, and optimize enterprise-grade data pipelines and workflows using Dataiku DSS. The ideal candidate will collaborate closely with business and technical teams to architect scalable data solutions, implement best practices, and ensure alignment with enterprise data governance, security, and compliance standards. The role requires strong expertise in Dataiku, Azure data services, SQL, and Python, with the ability to guide teams on data engineering and workflow orchestration strategies.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and workflows using Dataiku DSS. Collaborate with stakeholders to review, challenge, and optimize data pipeline architecture and implementation approaches. Lead technical discussions and recommend best practices for data integration, transformation, and workflow automation. Build and manage ETL/ELT processes for structured and unstructured data sources. Integrate Dataiku with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake. Develop and maintain SQL queries, Python scripts, and API integrations to support data processing requirements. Ensure adherence to enterprise data governance, security, compliance, and data quality standards. Perform data modeling, data wrangling, and data transformation activities to support analytics and reporting needs. Troubleshoot and optimize workflow performance, scalability, and reliability. Document architecture decisions, technical designs, and implementation standards. Mentor team members and promote knowledge sharing across the organization. Support solution design, implementation, testing, and production deployment activities. Required Skills & Qualifications4–6 years of experience in Data Engineering, Data Architecture, or related roles. Strong hands-on experience with Dataiku DSS development and workflow design. Solid understanding of ETL/ELT frameworks, data integration, and data modeling concepts. Experience designing and implementing production-grade data pipelines. Strong SQL development and database optimization skills. Proficiency in Python scripting and API integrations. Hands-on experience with Azure data ecosystem: Azure Data Factory (ADF) Azure Synapse Analytics Azure SQL Database Azure Data Lake Storage (ADLS) Experience with data governance, security, and compliance frameworks. Ability to evaluate multiple technical approaches and recommend optimal solutions. Strong analytical, problem-solving, and communication skills. Preferred QualificationsExperience in financial services or highly regulated industries. Exposure to data visualization and reporting tools. Knowledge of cloud-native data engineering practices. Experience with CI/CD, DevOps, and workflow automation. Familiarity with Agile development methodologies. Key CompetenciesDataiku DSS Development Data Architecture & Solution Design Data Pipeline Optimization Azure Data Engineering SQL & Python Programming