Key ResponsibilitiesDesign, develop, and optimize scalable data pipelines using Pythonand SQLBuild and manage data models and transformations using DBTDevelop and maintain workflows and scheduling using AirflowWork with Snowflakefor data warehousing, performance tuning, and data optimizationEnsure data quality, integrity, and reliability across all data systemsCollaborate with cross-functional teams including Analytics, BI, and Data Science teamsMonitor and troubleshoot data pipelines and workflows to ensure timely deliveryImplement best practices for data governance, security, and complianceRequired Skills & QualificationsStrong experience in SQLand data modelingProficiency in Pythonfor data engineering tasksHands-on experience with Snowflake(data warehousing, optimization, performance tuning)Experience working with DBTfor transformation and data modelingExperience with workflow orchestration tools like AirflowGood understanding of ETL/ELT processes and data pipeline architectureFamiliarity with cloud platforms (AWS/Azure/GCP) is a plusStrong problem-solving and analytical skillsExcellent Communication skillsAbility to effectively collaborate with general stakeholders and teams
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📌 Senior Data Engineer (México)
🏢 EXL Talent Acquisition Team
📍 México