Key Evaluation Areas

1. Python Programming

- Candidates are expected to have solid coding proficiency in Python.
- The customer typically conducts hands-on coding exercises during the interview.
- Focus on coding fundamentals, data structures, problem-solving approach, and code optimization.

2. PySpark

- Candidates should be comfortable with PySpark concepts and practical implementations.
- Hands-on PySpark assignments are commonly part of the customer interview process.
- Evaluate transformations, actions, joins, performance optimization, partitioning, and real-world data processing scenarios.

3. GCP (Google Cloud Platform)

- Evaluation is largely scenario-based.
- The focus is on the candidate's actual project experience and ability to apply GCP services in real-world situations.
- Assess familiarity with GCP data engineering services, architecture decisions, data pipelines, security considerations, monitoring, and troubleshooting.

Key Evaluation Areas 1. Python Programming

- Candidates are expected to have strong coding proficiency in Python.
- The customer typically conducts hands-on coding exercises during the interview.
- Focus on coding fundamentals, data structures, problem-solving approach, and code optimization.

2. PySpark

- Candidates should be comfortable with PySpark concepts and practical implementations.
- Hands-on PySpark assignments are commonly part of the customer interview process.
- Evaluate transformations, actions, joins,



performance optimization, partitioning, and real-world data processing scenarios.

3. GCP (Google Cloud Platform)

- Evaluation is largely scenario-based.
- The focus is on the candidate's actual project experience and ability to apply GCP services in real-world situations.
- Assess familiarity with GCP data engineering services, architecture decisions, data pipelines, security considerations, monitoring, and troubleshooting.

Key Evaluation Areas 1. Python Programming

- Candidates are expected to have strong coding proficiency in Python.
- The customer typically conducts hands-on coding exercises during the interview.
- Focus on coding fundamentals, data structures, problem-solving approach, and code optimization.

2. PySpark

- Candidates should be comfortable with PySpark concepts and practical implementations.
- Hands-on PySpark assignments are commonly part of the customer interview process.
- Evaluate transformations, actions, joins, performance optimization, partitioning, and real-world data processing scenarios.

3. GCP (Google Cloud Platform)

- Evaluation is largely scenario-based.
- The focus is on the candidate's actual project experience and ability to apply GCP services in real-world situations.
- Assess familiarity with GCP data engineering services, architecture decisions, data pipelines, security considerations, monitoring, and troubleshooting.

📌 DE&A - Core - Cloud Data Engineering - GCP Data Engineering (Bengaluru)
🏢 Zensar
📍 Bengaluru