Description

You will own the full lifecycle of data infrastructure and analytics, from ETL automation to stakeholder reporting.

Responsibilities

• Design, implement, and maintain large-scale enterprise ETL processes.
• Coordinate database changes, testing, and implementation using advanced management systems.
• Collaborate with senior management to define data requirements and storage strategies.
• Write and code logical and physical database descriptions and identifiers.
• Test programs and databases to correct errors and implement necessary modifications.

Required Skills

• 10+ years of applicable experience in data science or database management.
• Proficiency in SQL for complex queries and database management.
• Proficiency in Python for scripting and automation.
• Strong knowledge of Statistics for data analysis.
• Experience with ETL processes and pipeline automation.
• Proficiency in at least one additional scripting language.
• Experience with database technologies and architecture.
• Experience in Ecommerce domains.
• Ability to use Power BI for visualization and reporting.
• Stakeholder management skills to align technical outputs with business needs.

Preferred Skills

• Extensive Microsoft ecosystem experience.
• Ability to manage ambiguity in a startup environment.

Key Skills

Education

Any