Data Engineer (Apache Airflow)(Exp : 4+yrs)

Role Overview

We are looking for an experienced Data Engineer with strong hands-on expertise in Apache Airflow to design, develop, and maintain reliable data pipelines and workflow orchestration solutions.

Responsibilities

• Design, develop, and maintain Airflow DAGs for data pipeline orchestration.
• Build and optimize scalable ETL/ELT pipelines.
• Monitor, troubleshoot, and optimize Airflow workflows and task performance.
• Implement scheduling, dependencies, retries, alerts, and error handling in DAGs.
• Integrate Airflow with databases, cloud platforms, APIs, and data processing tools.
• Ensure data quality, pipeline reliability, and operational efficiency.
• Collaborate with Data Engineers, Analysts, and other technical teams.

Requirements

• 4+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Airflow and DAG development.
• Proficiency in Python and SQL.
• Experience with ETL/ELT pipelines and data orchestration.
• Understanding of databases, data warehouses, and cloud environments.
• Experience with Git and CI/CD practices.
• Strong debugging and problem-solving skills.
• Tier 1 – Required: Astronomer Certification for Apache Airflow Fundamentals (for DAG Authors).
• Tier 2 – Preferred: Astronomer Certification for DAG Authoring.

Skills

• Apache Airflow
• Python
• SQL
• ETL/ELT
• Git

Good to Have

• Experience with Astronomer or managed Airflow environments.
• Knowledge of AWS/Azure/GCP data services.
• Experience with Spark, dbt, Kafka, or other modern data engineering tools.

Benefits

• Provident Fund