Data Engineer_ Apache Airflow

Location: Pune
Experience: 5-7 Years
Employment Type: Full-time

Job Description

We are looking for a skilled Data Engineer with hands-on experience in Apache Airflow, ETL and data workflow development/integration.

Key Responsibilities

• Develop, integrate and maintain ETL/data pipelines using Apache Airflow.
• Design and develop Airflow DAGs for data workflows and scheduled processes.
• Integrate data from multiple source systems and ensure smooth data flow.
• Monitor, troubleshoot and optimize data pipelines and workflow failures.
• Work with cross-functional teams to understand data requirements and deliver scalable solutions.
• Ensure data quality, reliability and performance of pipelines.

Required Skills

• 57 years of experience in Data Engineering / ETL development.
• Strong hands-on experience with Apache Airflow.
• Good knowledge of Python and SQL.
• Experience in ETL/data pipeline development and integration.
• Strong understanding of data workflows, scheduling, dependencies and troubleshooting.
• Experience with Git/version control.

Good to Have

• AWS / Azure / GCP
• Spark / PySpark
• Databricks
• Snowflake
• Docker / CI-CD