Analytics Engineer

Responsibilities :

• Build and maintain data pipelines and transformations for analytics/reporting
• Create clean, structured datasets that are easy for BI tools and analysts to use
• Design data models (fact & dimension tables) for scalable analytics
• Write and manage data processes using SQL, Python, and PySpark
• Ensure data quality through validation and checks
• Optimize data performance (faster queries, efficient tables)
• Define metrics, data logic, and business rules clearly
• Work with stakeholders to turn business needs into data solutions
• Support dashboards, reporting, and self-service analytics
• Follow best practices (testing, documentation, deployment)

Requirements :

• 2+ years in Analytics / Data / BI Engineering
• Strong SQL and Python skills
• Experience with large-scale data tools (e.g., PySpark/Spark)
• Good understanding of data modeling (fact/dimension tables)
• Familiar with ETL/ELT pipelines and data workflows
• Experience with cloud data platforms (Fabric, AWS, or GCP)
• Understand how data is used in dashboards and analytics tools
• Able to translate business needs into data models