Description

You will design, develop, and maintain scalable data pipelines and ETL processes within Azure and Microsoft SQL environments.

Responsibilities

• Build and automate scalable data pipelines and ETL processes to support integration and analysis.
• Implement data transformation and enrichment processes to ensure data quality and consistency.
• Optimize data workflow performance and troubleshoot distributed computing issues.
• Manage SQL code and collaborate with customers on data model evolution.
• Maintain technical documentation for data processes, workflows, and reporting.

Required Skills

• 10+ years of experience in data engineering.
• Expertise in Microsoft SQL and SSIS.
• Proficiency in Python and strong SQL capabilities.
• Experience with Azure and AWS S3.
• Hands-on experience with Git or other version control software.
• Deep understanding of Relational Database Management Systems (RDBMS) and DE fundamentals.
• Experience with data warehousing, database optimization, and data anonymization.
• Bachelor’s or Master's degree in Computer Science, Engineering, Mathematics, Economics, or a related analytical field.

Preferred Skills

• Prior experience in data analysis.

Key Skills

Education

Any Graduate