Data Engineer

Summary

Join our team as a Senior Data Engineer to play a critical role in our cloud data migration initiative, designing, building, and maintaining data pipelines and infrastructure on Azure.

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 5+ years of experience in data engineering, with at least 2+ years of experience working with Azure and Snowflake
• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques
• Proficiency in SQL and experience with at least one scripting language (e.g., Python, Java)
• Experience with data migration tools and techniques
• Experience with data governance and data quality management
• Excellent communication, collaboration, and problem-solving skills

Responsibilities

• Design, develop, and implement robust and scalable data pipelines to migrate data from on-premises sources to Snowflake on Azure
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into efficient data solutions
• Build and maintain data infrastructure components on Azure
• Develop and implement data quality checks and validation processes to ensure data accuracy and consistency throughout the migration process
• Optimize data pipelines for performance, scalability, and cost-effectiveness
• Implement data security measures and access controls to protect sensitive information
• Contribute to the development and maintenance of data governance policies and procedures
• Stay up to date with the latest trends and technologies in data engineering and cloud computing
• Mentor and guide junior data engineers

Preferred Qualifications

• Experience with other cloud platforms (e.g., AWS, GCP)
• Experience with DevOps practices and tools (e.g., CI/CD, Terraform)
• Certifications in Azure and Snowflake