Data Engineer Lead

📋 Description

• Design and maintain automated data pipelines and analytics solutions.
• Automate manual reporting processes and repetitive data workflows.
• Optimize SQL queries, data models, and processing performance.
• Support production data preparation and model scoring for predictive 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/Analytics Engineer with production reporting.
• SQL Server development and database management expertise.
• Translate business questions into efficient SQL using joins, window functions, and CTEs.
• Python for automation, data processing, and analytics workflows.
• Experience with Databricks for production pipelines.
• Experience with BI tools for reports and dashboards.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths.
• Udemy Business access for courses.
• English lessons for professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and development programs.