Anlage Infotech
GCP Data Engineer
Skills
il y a 1 mois
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Important information
Contract type:
Permanent
Salary:
₹3,000,000 – ₹4,000,000 / year
Work mode:
Hybrid
Published on:
22 septembre 2026
What they need
Permanent Payroll - Anlage Digital
Client - NTT DATA
Long term project
Notice period - Immediate joiners or 10 days joiners required
Do not share long Notice period profiles
================
JD -
1st Interview - Virtual, 2nd Interview In Person,
Experience – 6 to 11 years – Should be hands on
Location – Pan India – 4 days WFO
Role: GCP Data Engineer
Experience: 6–11 years
Role Overview
We are looking for an experienced GCP Data Engineer to design, develop, and maintain scalable data engineering solutions on Google Cloud Platform. The candidate should have strong hands-on experience with BigQuery, GCS, GKE, Cloud Functions, Cloud Build, Airflow/Cloud Composer, dbt, Python, and SQL, along with a good understanding of data modelling, monitoring, and logging.
Key Responsibilities
- Design and develop scalable data pipelines and data platforms on GCP.
- Develop and optimize data solutions using BigQuery and Cloud Storage (GCS).
- Build and manage containerized data workloads on GKE.
- Develop event-driven and serverless solutions using Cloud Functions.
- Implement CI/CD pipelines for data engineering workloads using Cloud Build.
- Develop, schedule, and monitor workflows using Apache Airflow / Cloud Composer.
- Develop and maintain transformation pipelines using dbt.
- Write efficient and maintainable Python and SQL code for data processing and automation.
- Design analytical data models including fact/dimension models, star schemas, and data marts.
- Implement data quality, validation, error handling, and pipeline recovery mechanisms.
- Configure and troubleshoot GCP Monitoring and Logging for data pipelines and cloud workloads.
- Optimize BigQuery queries, data processing, storage, and overall pipeline performance.
- Work with development, QA, DevOps, and analytics teams to deliver reliable data solutions.
- Follow security, IAM, governance, and best practices across GCP data platforms.
- Participate in code reviews, technical design discussions, and production support.
Required Technical Skills
Required Skills
Cloud Platform
GCP
Data Warehouse
BigQuery
Storage
Google Cloud Storage (GCS)
Containers
GKE / Docker
Serverless
Cloud Functions
CI/CD
Cloud Build
Orchestration
Apache Airflow / Cloud Composer
Data Transformation
dbt
Programming
Python
Database
SQL
Data Modelling
Dimensional modelling, Star/Snowflake schemas, Data Marts
Monitoring
Cloud Monitoring
Logging
Cloud Logging
Version Control
Git
DevOps
CI/CD, automated deployments
Regards,
Syed
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