Description

You will design, build, and maintain data pipelines using cloud services and data processing frameworks.

Responsibilities

• Design, develop, and maintain data pipelines using AWS services and Databricks.
• Utilize Python and PySpark for data transformation and processing.
• Implement data modeling and warehousing solutions for analytics.
• Write complex SQL queries for data extraction and performance tuning.
• Monitor and optimize data workflows for efficiency and reliability.

Required Skills

• 5+ years of professional experience.
• Expertise in PySpark and Python.
• Proficiency in SQL and Data Modelling.
• Hands-on experience with AWS.
• Experience with Databricks.
• Knowledge of data pipeline design and ETL best practices.
• Familiarity with data governance and compliance.

Preferred Skills

• Experience with AWS Cloud or AWS-Amazon Web Services.
• Familiarity with Azure Databricks or PL/SQL.

Key Skills

Education

Any Graduate