(GCP) Data Engineer

Job Title: GCP Data Engineer

Location: Remote (Only From India)

Employment Type: Contract Long-Term

Start Date: Immediate

Time Zone Overlap: Must be available to work during EST hours (Canada)

Dual Employment: Not permitted – must be terminated if applicable

About the Role:

We are looking for a highly skilled GCP Data Engineer to join our international team. The ideal candidate will have strong experience with Google Cloud Platform's data tools, particularly DataProc and BigQuery, and will be comfortable working in a remote, collaborative environment. You will play a key role in designing, building, and optimizing data pipelines and infrastructure that drive business insights.

Key Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes on GCP

* Leverage GCP DataProc and BigQuery to process and analyze large volumes of data

* Write efficient, maintainable code using Python and SQL

* Develop Spark-based data workflows using PySpark

* Collaborate with cross-functional teams in an international environment

* Ensure data quality, integrity, and security

* Participate in code reviews and optimize system performance

Required Qualifications:

1. 5–8 years of hands-on experience in Data Engineering

2. Proven expertise in GCP DataProc and BigQuery

3. Strong programming skills in Python and SQL

4. Solid experience with PySpark for distributed data processing

5. Fluent English with excellent communication skills

6. Ability to work independently in a remote team environment

7. Comfortable with working during Canada EST time zone overlap

Optional / Nice-to-Have Skills:

* Experience with additional GCP tools and services

* Familiarity with CI/CD for data engineering workflows

* Exposure to data governance and data security best practices

Interview Process:

* Technical Test (Online screening)

* 15-minute HR Interview

* Technical Interview with 1–2 rounds

Please share only if you match above JD at hiring@khey-digit.com