What you will do

• Design, develop, and maintain scalable and reliable ETL/ELT pipelines;
• Build and optimize data workflows using tools such as dbt and Airflow ;
• Develop and maintain data solutions leveraging technologies such as Snowflake , Redshift , Kafka , Spark , and Hive ;
• Work with both SQL and NoSQL databases to support data ingestion, transformation, and analytics needs;
• Monitor, troubleshoot, and improve data pipeline performance, scalability, and reliability;
• Collaborate closely with cross‑functional teams including Engineering, Product, Analytics, and Business stakeholders;
• Participate in Agile ceremonies and contribute to sprint planning and delivery commitments;
• Manage multiple priorities effectively while ensuring timely and high‑quality deliverables;
• Contribute to data architecture discussions and h...