Description

You design, build, and maintain ETL processes and data pipelines for large, complex datasets while administering Hadoop clusters.

This role is on-site.

Responsibilities

• Design logical and physical database structures and develop ETL pipelines to integrate diverse data sources.
• Implement, configure, and monitor Hadoop clusters to ensure efficient data access and handling.
• Conduct statistical modeling, experiment design, and validation of predictive models.
• Build data visualization prototypes and implement automated processes for scalable model production.
• Create and enforce data management standards, policies, and procedures while providing technical guidance to junior team members.

Required Skills

• 5+ years of experience designing and implementing ETL processes and data pipelines.
• Strong proficiency in Big Data Analytics and working with Hadoop ecosystems.
• Experience with data visualization tools and building prototypes.
• Ability to conduct statistical modeling and validate predictive algorithms.
• Skilled in administering and monitoring Hadoop clusters.
• Experience creating and enforcing data management standards and policies.
• Strong communication skills for reporting status and issues to business stakeholders.

Preferred Skills

• Experience evaluating emerging Big Data technologies to develop next-generation analytics frameworks.
• Ability to provide 24x7 on-call support when required.

Key Skills

Education

Any Graduate