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.
Job Title
Senior Data Engineer (AWS/Azure/GCP)