Senior Data

6 days ago

Delhi, India SCIENTE Full time

Summary:Sciente Group is a multi-award winning, ISO9001/Great Place to Work certified, Singapore headquartered technology focused organisation with business interest in Singapore (HQ), USA, Malaysia, Philippines and India.We are looking for a hands-on Senior Data & AI Consultant with an aptitude for building Data pipelines, Data Products and AI/ML models. This role, based in Bangalore (India), will focus on solutioning, pre-sales support and delivering scalable data pipelines, data products, enabling ML workflows, and ensuring platform governance for enterprise-grade Data & AI solutions proposed to APAC/USA clients.Responsibilities:- Participate in pre-sales support, client PoC development, solution demos, and project schedule/scoping of implementation rollouts.- Design and implement enterprise-grade data pipelines, data products and ML workflows.- Build and maintain SQL-based transformations, automated recipes, and flow orchestration with scenarios.- Integrate external Python/R code into DSS projects for advanced analytics use cases.- Collaborate with data scientists, analysts, and engineering teams for scalable solution delivery.- Enable and maintain governance, access control, and compliance frameworks.- Monitor performance of deployed models, pipelines, and Dataiku server resources.- Overseas travels as required for short assignments/on-site client meetings.Experience & Skills:Data Management:3 to 7 years of hands-on experience in designing, building, and managing end-to-end data pipelines, data products and ML workflows, including visual recipes, Python/R code recipes, scenario automation, and model deployment.SQL & Data Pipeline Engineering:Strong command of SQL for data transformation, preparation, and advanced joins/aggregation. Proven experience in building high-volume, optimized ETL/ELT pipelines across structured and semi-structured data.AI/ML Model Building:Experience in developing and deploying machine learning models, integrating with internal/external Python libraries, feature engineering, model performance monitoring, and retraining workflows.Data Governance & Platform Management:Understanding of governance best practices (project security, roles, versioning, lineage, audit logging, and reusable flow zones).Cloud Ecosystem Experience:Working knowledge of platform like AWS (S3/EMR/SageMaker) /Denodo / Databricks/ Snowflake.Soft Skills:Good communication skills with clients and stakeholders.Educational Background:- Bachelor's or Master's degree in Computer Science, Information Technology or a related field.Good To Have:- Work experience in Dataiku, Denodo is highly desired.- Experience with CI/CD practices, Git integration, and DevOps automation.- Exposure to data catalog, lineage tracking, or metadata management.- Familiarity with building solutions for financial services and insurance sectors.- Knowledge of visualization tools integrated with Dataiku/Denodo (Tableau, Power BI, etc.).Only shortlisted candidates meeting mandatory pre-requisites shall be notified.When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website ( is assured, and only shortlisted candidates will be notified for interviews.

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