Role Overview: You’ll build scalable ETL pipelines, manage data warehouses, and ensure data quality to power analytics and BI for product and marketing teams.Key Responsibilities:• Develop and schedule data processing jobs using Spark, Flink, or SQL• Orchestrate workflows in Airflow or Prefect• Model and optimize schemas in Snowflake, BigQuery, or Redshift• Implement data validation, lineage tracking, and monitoringQualifications:• 3+ years in data engineering or analytics engineering• Proficiency in Python and SQL• Hands-on with cloud data platforms and ETL frameworks• Strong data modeling and performance-tuning skills