Dataiku Developer – Data Analytics & Reporting
Core
Design, build, and maintain end-to-end data solutions and pipelines using Dataiku DSS for banking and financial services clients.
Role type
Senior Data Engineering & Data Warehousing Specialist
Builds
Scalable data pipelines, data models, and self-service analytics platforms
Domain
Financial Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Dataiku DSS, SQL (PostgreSQL, Teradata), Python (Pandas, PySpark), Data Warehousing (Dimensional Modeling, Star/Snowflake Schemas), GitLab CI/CD, Cloud Infrastructure (Kubernetes, IBM Cloud)
Preferred skills
Apache Airflow, Tableau, Kafka, Elasticsearch
Technologies
Dataiku, PostgreSQL, Teradata, Python, GitLab, Kubernetes, IBM Cloud, Parquet, ORC
Responsibilities
Design and implement data pipelines and recipes in Dataiku DSS; Develop reusable Python code for data cleansing and analytics; Ensure data quality through validation rules and automated checks; Collaborate with architects to translate business requirements into technical specs; Document technical artifacts and contribute to the knowledge base; Monitor and optimize pipeline performance and cloud storage costs; Mentor junior team members on best practices.
Seniority
Senior, hands-on IC