Airflow Python Developer

📋 Description

• Develop and maintain data pipelines using Python, Airflow (DAGs), and AWS/Snowflake components.
• Build and automate data ingestion, transformation, and scheduling workflows.
• Develop Airflow DAGs including custom operators, sensors, hooks, and manage pipeline monitoring.
• Work on Snowflake-based ELT solutions including data loads, stored procedures, and queries.
• Write efficient SQL queries and optimize performance for data transformations.
• Collaborate with cross-functional teams to understand requirements and deliver scalable data

🎯 Requirements

• 2 to 4 years of experience in Python development (advanced scripting and automation).
• 1+ years of experience with Apache Airflow (DAG design, orchestration, scheduling).
• Experience with AWS services (S3, Glue, Lambda, Athena) or equivalent cloud technologies.
• Strong hands-on experience with SQL (advanced querying, optimization).
• Experience with ETL/ELT data workflows, data validation, data quality checks.
• Good to have Snowflake or any cloud data warehouse (Redshift / BigQuery / Databricks).

🎁 Benefits

• All your information will be kept confidential according to EEO guidelines.