Mid Data Engineer

📋 Description

• Develop, maintain, and optimize ETL pipelines using Databricks to support efficient data ingestion
• Collaborate with technical teams and business stakeholders to gather requirements and design
• Manage the data lifecycle, from ingestion into the data lake through bronze, silver, and gold
• Implement and maintain data transformation, processing, and automation logic using SQL, Python, and
• Support advanced analytics initiatives and machine learning operations within the Databricks
• Build, maintain, and improve dashboards and reports, with Sigma Computing as a preferred

🎯 Requirements

• Bachelor's degree in Computer Science or a related field.
• At least three years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
• Advanced proficiency in SQL and Python for data transformation, processing, and automation.
• Practical experience with PySpark and Databricks or other data lake platforms.
• Familiarity with the medallion architecture, including bronze, silver, and gold data layers.
• Experience developing ETL pipelines and supporting machine learning operations.

🎁 Benefits

• Professional development: Opportunities to strengthen technical skills through challenging projects
• International exposure: The chance to collaborate with international clients and distributed
• Collaborative environment: Work alongside professionals who value knowledge sharing, teamwork, and
• Career growth: Access to career development pathways and mentorship programs.
• Remote work: The position is advertised as remote; confirm eligibility and any location-specific