7+ years of experience in data warehousing, database administration, or database development 5+ years of hands-on experience as a Data Engineer using SQL and Python Expertise with cloud-based platforms such as AWS, GCP, or Azure Familiarity with containerization tools like Docker or Kubernetes Proven experience working with large-scale datasets using technologies such as Snowflake, BigQuery, Redshift, Databricks, or similar Strong knowledge of ELT/ETL tools and data integration frameworks, including Airflow, DBT, Python, and REST APIs Solid understanding of data modeling, performance optimization, and pipeline maintainability Excellent English communication skills