- 7 to 10 years of experience in a data-related role (e.g., Data Analyst, Business Intelligence Analyst, or Data Engineer).
- hashtag#Advanced_SQL skills: Capable of writing complex queries, optimizing query performance, and working with large datasets from relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Experience in hashtag#Starburst and distributed SQL engines to optimize, query, and manage large-scale data across multiple sources in a decentralized data architecture.
- Beginner-level hashtag#Python proficiency: Comfortable using Python for basic data wrangling, such as cleaning, transforming, and analyzing datasets.
- Experience in leveraging hashtag#AWS_cloud_infrastructure for scalability, storage, and processing power.
- Proven experience working with business stakeholders to gather requirements and translate them into technical solutions.
- Strong analytical and problem-solving skills, with a keen eye for detail and data accuracy.
- Excellent communication skills, both verbal and written, with the ability to present data-driven insights clearly to non-technical audiences.
- Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced
Any Graduate