Description

You will build and maintain data quality pipelines using Dataiku, Python, and automation frameworks to ensure data integrity across enterprise systems.

This role is on-site.

Responsibilities

• Build and maintain data quality pipelines in Dataiku using visual and code recipes, implementing scalable profiling, threshold checks, and exception handling logic.
• Refactor existing solutions to support environment-agnostic SDLC operations, ensuring portability across development environments and adherence to enterprise engineering standards.
• Develop interactive dashboards using Dataiku Webapps, Python frameworks, and web technologies to visualize data quality metrics and alerting systems.
• Automate data ingestion processes, monitor data integrity, and troubleshoot input issues while leading technical integration with EDO-approved enterprise tools.
• Maintain comprehensive documentation, project plans, and release readiness materials, providing structured communication to domain owners and technology partners.

Required Skills

• Dataiku (visual recipes, code recipes, Webapps).
• Python programming for data engineering and automation.
• Data Quality Management and Data Governance principles.
• SDLC practices, Git version control, and API integration.
• HTML, CSS, and JavaScript for dashboard development.
• Experience with 5+ years in data engineering or analytics roles.
• Strong technical communication skills for cross-functional collaboration.

Preferred Skills

• Experience with Flask, Dash, CI/CD principles, and automated testing.
• Knowledge of metadata, lineage concepts, and integration with enterprise data governance tools.
• Background in financial services or highly regulated environments with EUC/ITESS control requirements.

Key Skills

Education

Any Graduate