Data Engineer Lead

📋 Description

• Design, develop, and maintain automated data pipelines and analytics.
• Automate manual reporting processes and repetitive data workflows.
• Optimize SQL queries, data models, and processing performance.
• Support production data prep and model scoring for analytics.
• Monitor data quality, troubleshoot pipeline issues, and improve reliability.
• Collaborate with stakeholders to deliver scalable data solutions.

🎯 Requirements

• Strong experience as a Data Engineer in production reporting and analytics.
• SQL Server expertise; complex queries, performance, data modeling.
• Python for automation; Databricks in production analytics.
• BI development with Tableau or similar tools.
• End-to-end automation of recurring reports and workflows.
• Predictive model production: scoring, prep, scheduling, monitoring.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business.
• Mentoring and career development programs.
• Travel opportunities to industry conferences.
• Flexible working options.
• Company-provided equipment.