Job Summary
GCP Data Engineers – 2 Offshore – Grade E:
|
Skill or Category |
Mandatory / Non-Mandatory |
Evaluation Focus |
|
SQL |
Mandatory |
Advanced SQL development, complex queries, performance tuning, data modelling, data transformation, and optimisation. |
|
Python |
Mandatory |
Data processing, automation, ETL development, scripting, testing, and pipeline development. |
|
GCP (Google Cloud Platform) |
Mandatory |
BigQuery, Cloud Storage, Data Fusion, Composer, Cloud Run, Cloud SQL, cloud-native data solutions, and troubleshooting. |
|
DBT (Data Build Tool) |
Mandatory |
Data modelling, transformation frameworks, testing, lineage management, documentation, and best practices. |
|
Airflow / Cloud Composer |
Mandatory |
Workflow orchestration, scheduling, dependency management, monitoring, and failure recovery. |
|
Git/GitHub & CI/CD |
Mandatory |
Version control, branching strategies, pull requests, code reviews, automated build and deployment pipelines. |
|
Shell Scripting (Bash) |
Non-Mandatory |
Automation scripting, deployment support, operational maintenance, and troubleshooting. |
|
Docker |
Non-Mandatory |
Containerisation of Python and DBT workloads, image creation, and deployment practices. |
|
Kubernetes / GKE |
Non-Mandatory |
Managing containerised workloads, scaling, monitoring, and deployment on Google Kubernetes Engine. |
|
Harness |
Non-Mandatory |
CI/CD pipeline creation, deployment automation, release orchestration, and monitoring. |
Key Responsibilities
GCP Data Engineers – 2 Offshore – Grade E:
|
Skill or Category |
Mandatory / Non-Mandatory |
Evaluation Focus |
|
SQL |
Mandatory |
Advanced SQL development, complex queries, performance tuning, data modelling, data transformation, and optimisation. |
|
Python |
Mandatory |
Data processing, automation, ETL development, scripting, testing, and pipeline development. |
|
GCP (Google Cloud Platform) |
Mandatory |
BigQuery, Cloud Storage, Data Fusion, Composer, Cloud Run, Cloud SQL, cloud-native data solutions, and troubleshooting. |
|
DBT (Data Build Tool) |
Mandatory |
Data modelling, transformation frameworks, testing, lineage management, documentation, and best practices. |
|
Airflow / Cloud Composer |
Mandatory |
Workflow orchestration, scheduling, dependency management, monitoring, and failure recovery. |
|
Git/GitHub & CI/CD |
Mandatory |
Version control, branching strategies, pull requests, code reviews, automated build and deployment pipelines. |
|
Shell Scripting (Bash) |
Non-Mandatory |
Automation scripting, deployment support, operational maintenance, and troubleshooting. |
|
Docker |
Non-Mandatory |
Containerisation of Python and DBT workloads, image creation, and deployment practices. |
|
Kubernetes / GKE |
Non-Mandatory |
Managing containerised workloads, scaling, monitoring, and deployment on Google Kubernetes Engine. |
|
Harness |
Non-Mandatory |
CI/CD pipeline creation, deployment automation, release orchestration, and monitoring. |