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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines and ETL/ELT workflows using Python, Apache Airflow, and cloud data platforms like AWS and Snowflake.
Build and automate data ingestion, transformation, scheduling workflows including custom Airflow DAGs with operators, sensors, and hooks.
Monitor and troubleshoot data pipelines to ensure high availability and optimize performance of SQL queries and data transformations.
Minimum Requirements
2 to 4 years of Python development experience with advanced scripting and automation.
1+ years of experience with Apache Airflow including DAG design, orchestration, and scheduling.
Experience with AWS services such as S3, Glue, Lambda, Athena or equivalent cloud technologies.
Strong hands-on skills in SQL including advanced querying and query optimization.
Ideal Candidate Profile
Experienced in building and managing production data pipelines in cloud environments, specifically with Apache Airflow and AWS/Snowflake.
Proficient in designing custom Airflow DAGs and handling complex ETL/ELT workflows with a focus on automation and reliability.
Capable of collaborating with cross-functional teams to understand requirements and deliver scalable and maintainable data engineering solutions.