Dataiku Professional

Job Description

Mandatory Skills Dataiku, SQL, Python Good To Have AWS/GCP Job Description / Roles & Responsibilities (in Detail) Technically sound to lead discussion in the space of data analytics, business intelligence and DevOps support to data science team. Hands-on experience with Dataiku DSS for data preparation, including workflows, automation and model deployment Experience leading design discovery meetings with end-users is preferred Strong experience with data modelling, including designing schemas and writing complex SQL queries. Excellent troubleshooting, testing and validation skills for data pipelines in Dataiku. Solid experience of Dataiku connectivity with HDFS, Hadoop, Spark, Impala, Oracle, Teradata, Snowflake and other Cloud systems. Ability to work with huge datasets. Experience working in Python Identify trends, correlations, and key business drivers using Dataiku, SQL, Python. Optimize Dataiku pipelines for improved efficiency and performance Deploy and monitor ML models within Dataiku Have a good understanding of data management systems and processes within the ecosystem. She/he should be able to coach, guide and mentor junior members in the team Provide support and training to users on Dataiku best practices and functionalities. Experience working in an Agile or fast paced and dynamic environment is a plus. Must have worked in continuous integration and continuous delivery (CI/CD) environment. Ability to work with minimum supervision, collaborate with geographically dispersed teams. Outstanding written and verbal communication skills Knowledge of Financial Products is a PLUS Dedication to fostering an inclusive culture and value diverse perspectives.