Description

You will build and maintain data pipelines and warehousing solutions using big data technologies and ETL frameworks.

Responsibilities

• Implement data engineering jobs using Python, PySpark, and Informatica.
• Design and manage data warehouse implementations and data models.
• Troubleshoot complex issues across system resources and application stack traces.
• Deploy systems within data centers or hybrid cloud environments.
• Execute projects using Waterfall and Agile methodologies.

Required Skills

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

Preferred Skills

• Experience with DevOps deployment and data virtualization tools like Denodo.
• Track record implementing high availability and high security systems.

Key Skills

Education

Any Graduate