Dataiku Developer - Pan India

Role

• Supports Analytics solutions team in ramping up F&A analytics and reporting practice using Dataiku platform
• Partner with internal stakeholders and clients to identify, analyze, and deliver analytics and automation solutions using Dataiku.
• Translate business requirements into technical solutions and manage end-to-end delivery of Dataiku-based projects.
• Communicate technical infrastructure requirements to deploy automation solutions and convert solutions to tools, and products
• Lead and mentor a team of junior resources, enabling skill development in Dataiku, data engineering, and machine learning workflows. 

Essentials

• Identify F&A automation opportunities in client environment and able to perform end to end automation operations
• Senior Dataiku developer with 6+ years of experience in building dynamic workflows, models, and pipelines. 
• Experience in developing custom formulas, applications, and plugins within the Dataiku DSS environment
• Experience integrating and working with Snowflake
• Good understanding of SQL, and experience integrating Dataiku with enterprise systems such as SAP, Oracle, or cloud data platforms 
• Must possess a balance of analytical problem solving and strong interpersonal, and relationship development skills.

Technical Skills

• Hands-on experience in Dataiku, Alteryx, SQL, Power BI, Snowflake
• Proficient in creating data pipelines for data ingestion, transformation, and output within the Dataiku platform 
• Understanding of Python and R scripting within Dataiku is a strong plus
• Strong working knowledge of JIRA for agile project and task tracking

Soft skills (Desired)

• Excellent Presentation, verbal and written communication skills 
• Excellent analytical skills and aptitude for problem solving, including data analysis and validation
• Able to work independently and as part of a team

Work Experience Requirements

• 5-12 yrs. of total analytics experience
• 6+ years of experience in Dataiku 
• 1-2 years of working experience in Insurance Analytics would be good