Description

Architect, build, and maintain scalable data solutions to streamline operations.

Responsibilities

• Design and implement efficient ETL processes and data pipelines for complex datasets.
• Develop and optimize data models to support machine learning, analytics, and reporting.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Ensure data integrity and compliance with industry standards.

Required Skills

• 5+ years of hands-on experience in data engineering roles.
• Proficiency in Python and SQL.
• Hands-on experience with Apache Spark.
• Experience with AWS services including S3, Redshift, and Lambda.
• Strong understanding of Data Warehousing principles and Big Data technologies.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Preferred Skills

• Experience collaborating with data scientists and analysts to implement technical data requirements.

Key Skills

Education

Any Graduate