Responsibilities Build, and maintain reliable and scalable ETL (Extract, Transform, Load) pipelines to process and store large amounts of structured and unstructured data Optimize and manage databases, including relational databases (SQL) and No SQL databases (e.g., Mongo DB, Cassandra) Integrate data from various internal and external sources, ensuring data quality and consistency Develop and maintain complex data models and schemas that meet business needs, including star and snowflake schema designs for data warehousing Design and implement data warehousing solutions, ensuring high performance, scalability, and availability Work with cloud platforms (e.g., AWS, Azure, GCP) to build and maintain cloud-based data infrastructure Automate repetitive data-related tasks, including data ingestion, validation, transformation, and storage Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver appropriate solutions Implement monitori...