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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time