Description

You will design and maintain data engineering pipelines using Python and SQL, ensuring efficient ETL processes across diverse data formats.

This role is on-site.

Responsibilities

• Build and optimize ETL workflows for structured and unstructured data.
• Develop robust data models using RDBMS and NoSQL systems.
• Implement data processing solutions with Apache Airflow, Hadoop, or Spark.
• Manage CI/CD pipelines and containerized deployments using Azure DevOps, Docker, and Kubernetes.
• Collaborate within Agile Scrum or Kanban teams using Jira.

Required Skills

• 5+ years of professional experience in data engineering or Python development.
• Strong proficiency in Python and SQL.
• Hands-on experience with AWS, Azure, or GCP cloud platforms.
• Deep knowledge of RDBMS and NoSQL database architectures.
• Familiarity with data processing frameworks such as Hadoop, Spark, or Hive/HBase.
• Experience with SDLC practices, specifically Agile Scrum or Kanban.
• Proficiency with Jira for project tracking.

Preferred Skills

• Experience with Azure DevOps, Docker, and Kubernetes.
• Knowledge of Hive or HBase.

Key Skills

Education

Any Graduate