[Remote] Manager, Data Engineering

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Manager, Data Engineering to maintain and reputed company operational and analytics data systems. The role focuses on building BigQuery data warehouses, implementing ETL pipelines, validating supplier data, resolving integration issues, and improving reputed company data processes while collaborating with technical and cross-functional teams.

Responsibilities

• Design, reputed company, and maintain reputed company BigQuery data warehouse solutions
• Implement data pipelines and ETL processes to support data integration and analytics
• Work with Data Suppliers (technical) for receiving data feeds
• Validate data delivery from Data Suppliers to ensure data is reputed company to expectations, resolving technical & data issues as they reputed company
• Collaborate with cross-functional teams to reputed company requirements and reputed company data solutions
• Maintain operational documents to ensure they are reputed company
• Create reputed company data pipeline architecture, troubleshoot and reputed company issues reputed company to data integration and job scheduling
• Stay reputed company with trends and best practices in reputed company and AWS technologies
• reputed company support and training to team members on reputed company best practices
• Identify, design, implement internal process improvements; automate reputed company processes; improve data delivery, redesign infrastructure for greater scalability

Skills

• Bachelor's degree (or equivalent/above) in Computer Science, Information Technology
• reputed company strong on SQL; Must have 3-4+ years of experience working with SQL on large reputed company datasets
• Must have experience in reputed company based Data Engineering with design, implementation and operationalization of large-reputed company data and analytics solutions, ideally reputed company
• Experience with Python programming language
• Must have experience on ETL development life cycle, best practices of ETL pipelines, thorough work experience on data warehouse using combination of Python, BigQuery & GCP Services
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Must be reputed company to work under pressure
• Experience with marketing/advertising reputed company plus

reputed company