Description

You own the design, implementation, and maintenance of scalable data engineering solutions.

Responsibilities

• Implement data integration projects, writing Python and PowerShell scripts for data integration and analysis.
• Build and maintain optimized, highly available data pipelines for data and analytics reporting.
• Analyze, transform, and prepare data for large-scale migration projects, including master data consolidation.
• Design, test, deploy, and maintain stable, secure data engineering pipelines supporting business needs.
• Design integration solutions with error handling, monitoring, and reporting to ensure issue detection.

Required Skills

• Bachelor's degree in computer science, computer engineering, or similar technical discipline or equivalent work experience.
• Intermediate+ proficiency in Python for data manipulation and building automated processes.
• High proficiency in Microsoft SQL Server and T-SQL query language.
• 2+ years of experience on MS SQL Server writing complex stored procedures and functions for ETL pipelines.
• Proven experience working hands-on with big data systems and large data set migration projects.
• Experience in master data management for large-scale implementations.
• Strong logical, analytical, and problem-solving skills.
• Experience with relational databases, data warehouse, systems design, and data management.
• Familiarity with Git for release management.

Key Skills

Education

Bachelor's degree