Description

You design, implement, and maintain scalable data engineering solutions and pipelines.

This role is on-site.

Responsibilities

• Build and maintain optimized, highly available data pipelines for analytics reporting and large-scale migration projects.
• Write Python and PowerShell scripts for data integration, transformation, and automated processes.
• Design integration solutions with robust error handling, monitoring, and reporting capabilities.
• Analyze and consolidate master data for migration and management initiatives.
• Deploy and maintain stable, secure data engineering pipelines supporting business needs.

Required Skills

• Bachelor's degree in computer science, computer engineering, or equivalent work experience.
• 5+ years of experience in data engineering or related technical disciplines.
• Intermediate+ proficiency in Python for data manipulation and automation.
• High proficiency in Microsoft SQL Server and T-SQL query language.
• 2+ years of experience writing complex stored procedures and functions for ETL pipelines.
• Hands-on experience with big data systems and large dataset migration projects.
• Experience with master data management for large-scale implementations.
• Strong logical, analytical, and problem-solving skills.
• Familiarity with Git for release management.

Preferred Skills

• Experience with relational databases, data warehouse systems design, and data management.
• Proficiency with SSMS, JSON, and XML data formats.

Key Skills

Education

Bachelor's degree