AI & Data Analytics Engineer

Batch: 2022/2023/2024. Requirements: - Experience: 2–3 years - Strong proficiency in Python and SQL - Hands-on experience with Python-based ETL pipelines - Experience in data handling, manipulation, and warehousing - Experience with REST APIs and API integrations - Knowledge of cloud platforms such as GCP and/or AWS - Understanding of cloud deployment and data pipelines - Knowledge of AI-powered workflows and automation - Good understanding of SDLC and software development practices - Experience building scalable data solutions and optimized SQL queries for analytics and BI - Ability to collaborate with Technology, Product, Data Engineering, and Analytics teams