Senior Data Engineer (AWS/Azure/GCP)

MUST HAVE

• Experience on working with ETL on a data warehouse or big data projects.
• Experience with cloud services like Azure or GCP or AWS with respect to the data related services, could be just etl , data cleanup or BI but has potential to be groomed in a 1-2 month period. Should have energy and enthusiasm to get into new things, able to stretch.
• Good SQL skills and able to solve complex problems in database SQL language efficiently.
• Able to identify and resolve performance and scalability issues.
• Can work as an individual contributor.
• Basic understanding of reporting tools and basic visuals.
• Actively participate and manage design and code reviews.
• Help in estimation the task with assistance.
• Guide team members on the project, including structured problem solving, development of best practices, etc.
• Good communication and analytical skills.
• Should have experience in deployment.

GOOD TO HAVE

• Understands agile project development concepts like sprint/scrum etc.
• Good to have exp in Python.
• Certifications in SQL and cloud technologies.
• Experience on Master data management or data governance related areas.
• Understands concepts like streaming data processing, data lake, and distributed data architecture.
• Azure Data factory is preferred but not mandatory.