Description

You will build and maintain data pipelines and infrastructure.

This role is hybrid.

Responsibilities

• Develop and manage ETL/ELT processes for data ingestion and transformation.
• Implement and monitor big data processing jobs using Spark and Hive.
• Design and maintain data workflows using Airflow.
• Write complex SQL queries against data warehouses like Snowflake.

Required Skills

• 3-7 years of data engineering experience.
• Proficiency in Python or Scala.
• Strong command of SQL.
• Experience with big data technologies (Spark, Hive, Kafka).
• Hands-on experience with cloud platforms (GCP or AWS).
• Familiarity with Snowflake.

Preferred Skills

• Familiarity with CI/CD practices and Docker.

Key Skills

Education

Any Graduate