Description

You will build and maintain data pipelines and infrastructure.

This role is remote.

Responsibilities

• Design, implement, and optimize data workflows using Spark and Airflow.
• Manage and maintain data infrastructure on cloud platforms (AWS, Azure, or GCP).
• Monitor data operations and troubleshoot issues using Splunk.
• Develop and manage data processing jobs utilizing Python and SQL.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Extensive experience with cloud infrastructure (AWS, Azure, or GCP).
• Experience with Databricks, Spark, Airflow, and Kubernetes.
• Familiarity with data visualization tools like Power BI.
• Proficiency with Git for version control.

Preferred Skills

• Any Graduate education.

Key Skills

Education

Any Graduate