Description

You will build and maintain data pipelines and analytics implementations using big data technologies.

Responsibilities

• Build and execute big data engineering jobs using Python, PySpark, and Informatica.
• Implement data warehouse solutions and analytics architectures.
• Perform data modeling, analysis, and complex SQL querying.
• Troubleshoot complex technical issues across system resources and application stack traces.
• Develop and manage data processes using Agile or Waterfall methodologies.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in SQL and data modeling.
• Hands-on experience with Python and PySpark.
• Experience working in Linux environments.
• Knowledge of ETL tools such as Informatica.
• Understanding of Hive, Impala, and Cloudera Data Platform.
• Familiarity with reporting and visualization tools like SAP BO and Tableau.
• Understanding of analytics and data warehouse implementations.

Preferred Skills

• Experience with DevOps deployment and data virtualization tools like Denodo.
• Experience implementing systems in hybrid cloud environments or across various data centers.

Key Skills

Education

Any Graduate