Data Engineer_ Apache Airflow

Fulcrum Worldwide Software; Pune District; In loco; INR 900.000 - 1.400.000; Tempo pieno

Descrizione del lavoro

Fulcrum Worldwide Software is seeking a skilled Data Engineer with hands-on experience in Apache Airflow, ETL and data workflow development.

You will develop, integrate and maintain ETL/data pipelines, design Airflow DAGs for data workflows, and ensure data quality and performance while collaborating with cross-functional teams in Pune. 5-7 years of experience is preferred and full-time on-site employment is offered.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data engineering / ETL development

Apache Airflow

Python

SQL

ETL / data pipeline development and IN

Data workflows and scheduling

Git / version control

Strumenti

Airflow DAGs

Docker / CI‑CD

AWS / Azure / GCP

Spark / PySpark

Databricks

Snowflake

Descrizione del lavoro

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