GCP Data Engineer

Anlage Infotech; Dadri; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Anlage Digital, on behalf of NTT DATA, is seeking a GCP Data Engineer with 6–11 years of hands-on experience to design and maintain scalable data platforms on Google Cloud. The role covers BigQuery, GCS, GKE, Cloud Functions, Airflow/Cloud Composer, dbt, Python, and SQL, with emphasis on data modelling, monitoring, and governance. Location: Pan India with 4 days of work from office.

Immediate joiners or up to 10 days may be considered. Remote work is not indicated.

Qualifications

• Hands-on experience with GCP data engineering
• Strong knowledge of BigQuery, GCS, GKE, and serverless tools
• Proficient in Python and SQL for data processing

Responsibilities

• Design scalable data pipelines on GCP
• Develop data solutions using BigQuery and GCS
• Build containerized data workloads on GKE
• Implement CI/CD pipelines with Cloud Build
• Develop and monitor Airflow/Cloud Composer workflows
• Create and maintain dbt transformation pipelines
• Write Python and SQL for data processing
• Model data with star schemas and data marts
• Ensure data quality and pipeline recoverability

Skills

GCP

BigQuery

Python

SQL

Cloud Functions

Cloud Build

Airflow/Cloud Composer

dbt

GKE

Docker

Git

Monitoring

Tools

Docker

Git

Cloud Composer

Airflow

Job description

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

• 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