Data Engineer

Key Responsibilities: Build and maintain data pipelines (ETL/ELT) to ingest data from multiple sourcesDevelop and optimize SQL queries for analytics and reporting use casesAssist in managing and scaling data warehouses and data lakesPerform data validation, cleansing, and quality monitoringCollaborate with Data Analysts, Data Scientists, and Product teamsSupport cloud-based data solutions on AWS, GCP, or AzureDocument data models, pipelines, and technical workflowsTroubleshoot and resolve pipeline failures or data discrepanciesFollow best practices related to data security, governance, and complianceRequired QualificationsMaster’s degree (required) in Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related fieldStrong proficiency in SQL (joins, window functions, aggregations) Working knowledge of Python for data processing and automationUnderstanding of data modeling, ETL concepts, and database designFamiliarity with relational databases such as PostgreSQL, MySQL, SQL Server, or OracleExposure to at least one cloud platform (AWS, GCP, or Azure) Knowledge of Git or other version control systemsStrong analytical thinking and problem-solving skillsExcellent written and verbal communication skills