Degree in Computer Science, Engineering, Mathematics, or related STEM discipline .Strong programming and query skills in SQL and Python .Experience working with distributed version control systems such as Git in an Agile/Scrum environment .Experience designing and orchestrating ETL pipelines , particularly with Databricks .Experience working within cloud environments (GCP, AWS, or Azure) .Experience with database systems such as MongoDB and Elasticsearch .Strong understanding of data warehousing and dimensional modeling methodologies .Hands-on experience with Airflow and Hadoop .Experience using Docker for containerized workflows and reproducible environments. Job Responsibilities Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer .Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing .Develop and manage our central data warehouse in Google BigQuery .Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term maintainability.