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 NoSQL databases (e.g., MongoDB, 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 stakeho...