Description

Key Responsibilities
Design, develop, and maintain scalable ETL/data pipelines and warehouse solutions.Build and orchestrate workflows using Airflow.
Develop data solutions using Python, SQL, Spark, Kafka, Trino/Dremio, Iceberg, and Docker.Monitor, troubleshoot, and support production pipelines, including incident response, backfills, and deployments.
Perform root cause analysis (RCA) and resolve issues across shared data platforms.Implement data quality checks, monitoring, and validation frameworks.
Collaborate with Data Engineering, Sales, and Finance teams to deliver reliable data solutions.Maintain Git, CI/CD, and SDLC best practices.
Required Qualifications5+ years of Data Engineering or Software Engineering experience with a strong data focus.Strong SQL and Python skills.
Hands-on experience with Airflow, Spark, Kafka, Trino/Dremio, Iceberg, Docker, and ETL/data pipeline development

Key Skills

Education

Bachelor's degree