Description

You will build and maintain data integration pipelines and business intelligence solutions within an AWS environment.

Responsibilities

• Develop data pipelines, schemas, and models to support reporting and analytics.
• Build automation and integration tools to streamline data workflows.
• Perform data validation, cleansing, and feature engineering.
• Optimize database performance through advanced SQL writing and query tuning.
• Manage distributed computing tasks using Spark and Scala.

Required Skills

• 9+ years of data engineering experience.
• 5+ years developing business intelligence solutions, including data integration and modeling.
• Proficiency with Databricks and the AWS stack.
• Hands-on experience with Spark, Scala, and PySpark.
• Advanced SQL skills and database design principles.
• Strong programming skills in Python.
• Experience with Jupyter Notebooks and data science tools.
• Practical knowledge of CI/CD processes.

Preferred Skills

• Degree in any field of study.

Key Skills

Education

Any Graduate