Cloud Data Engineer

Role & responsibilities Role: 6+ years hands on experience in software development. Strong in algorithms and data structures, knowledge of Object-oriented design, Design Patterns, and multi-threaded programming Strong troubleshooting, debugging, and analytical skills. Google cloud development experience Mandatory Skills Google cloud BQ, Data Proc SQL skills (BQ, Hive and Spark) Spark jobs debugging and tuning Python, Java Pyspark Good architecture skills to understand end to end flows/data pipelines Secondary skills Client stakeholder management Certification in relevant skills Responsibilities The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects Design, implement, and support multi-tier software applications, document and test systems, modify as necessary Work independently and with other engineers, and Ops teams, design and develop strategic and tactical processes, and create solutions that meet business requirements. Demonstrate thought processes in solving business and technical problems. Design and code should be easy to maintain, available, performing well, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version. Own to deliver very high-quality code that is thoroughly tested and is supported by unit tests written in Golang for a flawless execution Can be relied on to deliver features and sub-systems on time and to requirements Works well within a team and contributes effectively to the success of those they interact with regularly. candidate profile