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.

Solid 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

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📌 Cloud Data Engineer (Bengaluru)
🏢 Lorven Technologies
📍 Bengaluru