Airflow Python Developer

Skills this role screens for

About the role

Sutherland is looking for a skilled Python Data Engineer with good experience in Apache Airflow, data pipeline development, and cloud data platforms (Snowflake / AWS). The role involves building and orchestrating scalable ETL/ELT workflows and automating data processes across multiple systems. • 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 solutions. • Troubleshoot pipeline failures and ensure high availability of production workflows. • 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). • Familiarity with Git / CI-CD, JIRA, or similar tools. • Good communication skills and ability to work independently. • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) All your information will be kept confidential according to EEO guidelines.