Description

You will design and implement data models to support reporting requirements, owning the end-to-end data asset lifecycle.

Responsibilities

• Create and document data models, data assets, and supporting technical documentation.
• Collaborate with product owners and stakeholders to align on data solutions and reporting needs.
• Optimize SQL queries to ensure efficient data retrieval and processing performance.
• Apply SDLC processes, including coding standards and unit testing, to all data workflows.
• Solve complex data problems and adjust technical approaches based on changing project requirements.

Required Skills

• 6+ years of experience in data analysis and data modeling.
• Strong proficiency in Python and PySpark for data processing.
• Advanced SQL skills with a specific focus on query optimization.
• Experience working within AWS environments.
• Proficiency in Excel for data manipulation and analysis.
• Solid understanding of database and data warehouse design principles.
• Deep knowledge of SDLC processes, including coding standards and unit testing.
• Engineering degree or MCA from a reputable institute.

Preferred Skills

• Strong analytical, troubleshooting, and written communication skills.

Key Skills

Education

Not specified