Data Engineer Lead

📋 Description

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

🎯 Requirements

• Strong Data Engineer/Analytics Engineer experience delivering production reporting.
• SQL Server development and DB management; complex queries and optimization.
• Python automation; Databricks in production data pipelines.
• BI development: reports/dashboards with Tableau or similar.
• End-to-end automation: recurring reports to automated production workflows.
• Predictive model production support: scoring, prep, monitoring.

🎁 Benefits

• Certifications in AWS, Databricks, Snowflake.
• Udemy Business access for courses and skill growth.
• Mentoring and development programs.
• Travel opportunities to attend industry conferences.
• Company-provided equipment.
• Flexible working options.