Description

You will design and maintain resilient data platforms and ETL pipelines to process massive daily data volumes.

Responsibilities

• Build and maintain scalable data platforms and ETL pipelines for high-volume data processing.
• Apply technical expertise to data storage structures, data mining, and data cleaning.
• Troubleshoot end-to-end technical issues and drive them to resolution.
• Analyze existing tools and databases to provide software solution recommendations.
• Translate business requirements into technical specifications and define project acceptance criteria.

Required Skills

• 15+ years of professional experience with a Bachelor’s degree, or 12+ years with a Master’s, or 8+ years with a PhD.
• Proficiency with Massive Parallel Processing (MPP) technologies including Snowflake, Greenplum, Teradata, and Hadoop.
• Hands-on experience with cloud data engineering in Azure, Snowflake, or AWS.
• Experience using Spark and Databricks for data processing.
• Strong knowledge of data ingestion tools, data modeling, and data governance.
• Deep understanding of Linux operating systems and application processes.
• Technical expertise in data protection and security policies.
• Experience with C++, Azure, AWS, and Hadoop.
• Strong English communication skills for documenting requirements and providing consultative expertise.

Key Skills

Education

Bachelor's degree in Computer Science