GCP Data Engineer
DGS India - Pune - Indiqube Orchid
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time · Permanent — employment source
What you’ll work on
Full postingDesign, build, and optimize scalable ETL/ELT data pipelines across GCP.
Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation.
Implement event-driven and real-time data processing architectures.
From the employer’s posting
Key Responsibilities Design, build, and optimize scalable ETL/ELT data pipelines across GCP. Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation. Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm. Integrate with external APIs to ingest datasets into BigQuery and other storage layers. Implement event-driven and real-time data processing architectures. Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build. Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure. Establish and enforce data quality, governance, lineage, and security standards. Work closely with cross-functional teams to convert business needs into scalable data solutions. Maintain detailed technical documentation and contribute to engineering best practices. Education Qualification
Education & alternatives
Education Qualification Bachelor’s or Master Degree or equivalent Degree Certification If Any
Tools in this posting
- Python
- BigQuery
- Google Cloud (GCP)
- Google Cloud Storage
- Snowflake
Source — Tool mentions in context
Key Responsibilities Design, build, and optimize scalable ETL/ELT data pipelines across GCP. Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation. Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm. Integrate with external APIs to ingest datasets into BigQuery and other storage layers. Implement event-driven and real-time data processing architectures. Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build. Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure. Establish and enforce data quality, governance, lineage, and security standards. Work closely with cross-functional teams to convert business needs into scalable data solutions. Maintain detailed technical documentation and contribute to engineering best practices. Education Qualification
Certification If Any 1. GCP Professional Data Engineer Certification. 2. Snowflake Associate / Core Shift timing
Job description
Job Description:
Key Responsibilities
Design, build, and optimize scalable ETL/ELT data pipelines across GCP.
Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation.
Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.
Integrate with external APIs to ingest datasets into BigQuery and other storage layers.
Implement event-driven and real-time data processing architectures.
Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build.
Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure.
Establish and enforce data quality, governance, lineage, and security standards.
Work closely with cross-functional teams to convert business needs into scalable data solutions.
Maintain detailed technical documentation and contribute to engineering best practices.
Education Qualification
Bachelor’s or Master Degree or equivalent Degree
Certification If Any
1. GCP Professional Data Engineer Certification.
2. Snowflake Associate / Core
Shift timing
12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone
Location:
DGS India - Pune - Indiqube OrchidBrand:
MerkleTime Type:
Full timeContract Type:
PermanentYour next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on dentsuaegis.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
DGS India - Pune - Indiqube Orchid
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 25, 2026
- Recorded sightings
- 22
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Sep 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.