Description

Key Responsibilities:
 

• Design, develop, and maintain data warehousing solutions.
• Implement ETL processes to ensure data quality and integrity.
• Optimize data models and storage solutions for performance and scalability.
• Write complex SQL queries for data extraction, transformation, and loading.
• Utilize advanced SQL techniques for analytical queries, ensuring efficient data retrieval and reporting.
• Implement and manage Snowflake data solutions.
• Collaborate with cross functional teams to integrate Snowflake with existing systems.
• Develop scripts to automate data processing and analysis using Python.
• Work on data manipulation and transformation tasks to support analytical projects.
• Create and maintain Power BI dashboards and reports.
• Collaborate with stakeholders to gather requirements and provide insights through data visualization.
• Assist in the development and integration of APIs using PowerShell and RESTful services.
• Ensure data accessibility and interoperability between systems.
• Design and develop OLAP cubes to support business intelligence needs.
• Optimize cube performance and ensure accurate data representation.

Experience:
 

• 10 years of experience in BI development, data warehousing, and analytical queries.
• Must have experience on DAX
• Proficient in advanced SQL and experience with Snowflake.
• Handson experience with Python for data processing.
• Intermediate knowledge of Power BI for reporting and visualization.
• Familiarity with API development (PowerShell, REST APIs) is desirable.
• Experience with Cube Development is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.

Preferred Qualifications:
 

• Certifications in relevant technologies (e.g., Snowflake, Power BI).
• Experience with cloud-based data solutions.

Key Skills

Education

Any Graduate