Cloud Data Engineer

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: BigQuery (BQ), Dataproc
SQL skills: BigQuery, Hive, Spark SQL
Spark job debugging and performance tuning
Programming: Python, Java, PySpark
Good architectural understanding of end-to-end data pipelines and flows

Secondary Skills:
Client and stakeholder management
Relevant certifications (preferred)

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

Not Ready to Apply

Join our talent pool and well reach out when a job fits your skills.