Description

Own the design, implementation, and optimization of data pipelines, machine learning models, and database systems to drive business insights.

This role is on-site.

Responsibilities

• Design and implement data pipelines and workflows for seamless integration of large datasets.
• Develop and maintain machine learning models to solve complex business challenges.
• Translate stakeholder requirements into technical solutions using Tableau, PL/SQL, and Python.
• Monitor and optimize data system and ML model performance for reliability and scalability.
• Implement data governance, security, and privacy best practices.

Required Skills

• 12-14 years of experience in data and ML engineering.
• Strong proficiency in Python and PL/SQL.
• Experience with Tableau for data visualization and analytics.
• Proven track record in data engineering, data pipelines, and database management.
• Hands-on experience building and deploying machine learning models.
• Knowledge of data governance standards and security protocols.

Preferred Skills

• Ability to create detailed technical documentation.
• Experience mentoring team members and fostering continuous learning.

Key Skills

Education

Any Graduate