Senior Data Engineer

Senior Data Engineer responsible for designing, developing, and maintaining scalable and efficient ETL/ELT pipelines using tools such as AWS Glue, DBT, and Airflow. Collaborate with analysts, data scientists, and engineering teams to deliver robust data solutions.

Requirements

• 4-6 years of experience as a Data Engineer or in a similar role
• Hands-on experience with AWS data services: Glue, Lambda, EventBridge, S3, IAM, Airflow/MWAA
• Proficiency in SQL and Python for data manipulation and orchestration
• Snowflake data warehouse design and query optimization
• Solid experience with DBT, Apache Airflow, and Snowflake (or other cloud data warehouses)
• Experience using GitHub Actions for CI/CD in data workflows
• Familiarity with data replication tools such as Hevo or Fivetran
• Strong understanding of data modeling principles (e.g., star/snowflake schema)
• Prior experience in eCommerce, retail, or high-volume transactional data environments
• Infrastructure-as-Code expertise using Terraform
• Experience containerizing pipelines with Docker, ECR and EKS
• Strong problem-solving and communication skills in a collaborative, cross-functional environment