Middle Data Engineer (Python, SQL, BI, AWS)

SQL: Strong proficiency in Redshift/PostgreSQL, complex queries, performance tuningAWS: Hands-on with data-related infrastructureETL/Orchestration: Experience with ETL processing tools (Airflow, Kafka Connect)Python: Data processing, automation, scriptingData Modeling: Star schema, dimensional modeling, data warehouse conceptsBI Tools: Experience supporting Power BI, Looker, Qlik Sense, or similarNice to have: Docker, ClickHouse, MongoDB, Elasticsearch, data quality frameworksRequirementsBachelor's degree in Computer Science, IT, Engineering, or related field2 to 4 years of experience in data engineering, infrastructure, or cloud operationsFinancial services or fintech background preferredStrong problem-solving and troubleshooting abilities