Big data and ML projects with impact
Bureaucracy often slowed things down for trivial reasons.
Gatekeepers for access should be closely monitored for latency. Approval takes 5 minutes; 1-2 days worst case.
After a week of latency, serious consequences should follow.
Two rounds of face-to-face, detailed interviews were conducted for the role of Docker Architect. I was interviewed on various DevOps tools and was asked to write code using shell and Python. I was also asked questions based on databases, and I wrot
Interaction with teams and the Director. This is more of an informal problem-solving and exploratory format than a grilling technical interview. The process typically includes: * First, you meet members from multiple candidate teams to see what m
Very long and theory-questioned areas: * SQL & PL/SQL queries * XML Publisher Reports (BI Publisher) * Interface & Conversion logic * APIs / Web Services (REST/SOAP) * RICEW components (Reports, Interfaces, Conversions, Extensions, Workflows) * Know
Two rounds of face-to-face, detailed interviews were conducted for the role of Docker Architect. I was interviewed on various DevOps tools and was asked to write code using shell and Python. I was also asked questions based on databases, and I wrot
Interaction with teams and the Director. This is more of an informal problem-solving and exploratory format than a grilling technical interview. The process typically includes: * First, you meet members from multiple candidate teams to see what m
Very long and theory-questioned areas: * SQL & PL/SQL queries * XML Publisher Reports (BI Publisher) * Interface & Conversion logic * APIs / Web Services (REST/SOAP) * RICEW components (Reports, Interfaces, Conversions, Extensions, Workflows) * Know