Data Analyst

We are seeking a skilled and self-driven Data Engineer The ideal candidate should have strong analytical capabilities, hands-on experience with PySpark, and the ability to design and build scalable data solutions independently. Key Responsibilities: Analyze large and complex datasets to derive actionable insights Design, develop, and maintain robust data pipelines using PySpark Create clear and effective data visualizations to communicate insights Work on data modeling and contribute to overall data architecture design Break down complex business problems into smaller, manageable components and solve them effectively Ensure data quality, integrity, and scalability across systems Requirements: Strong proficiency in data analysis and problem-solving Hands-on experience with PySpark and building data pipelines Solid understanding of data modeling and data architecture principles Ability to work independently with minimal supervision Strong ownership mindset and self-motivation Excellent analytical and critical thinking skills