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GCP Data Engineer

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Hybrid

GCP Data Engineer

Anlage Infotech

GCP Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonTesting & QASnowflakeGitData AnalysisApache Airflow

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

[email protected]

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