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Staff - GCP Data Engineer

Equinix, Inc

Full time Remote
Experience
4+ years
Location
Bangalore
Work mode
Remote
Salary
₹14L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 288 posts
Posted 3 days ago

You apply on Equinix, Inc's website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • You will design, build, and maintain scalable data infrastructure and analytics solutions on Google Cloud Platform.
  • The ideal candidate will have strong expertise in cloud-native data technologies and a passion for building robust, efficient data…
  • Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud…
Experience
4+ years
Must-have skills
AirflowBigQueryCI/CDCloud FunctionsCloud StorageData Engineering
Work mode
Remote

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Job description

Who are we?

Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work.

Job Summary

As a key member of the Data Team at Equinix, we are seeking a skilled GCP Data Engineer who will be responsible for end-to-end development of Data Engineering use cases, Equinix Data Lake platform and tools. You will design, build, and maintain scalable data infrastructure and analytics solutions on Google Cloud Platform. The ideal candidate will have strong expertise in cloud-native data technologies and a passion for building robust, efficient data pipelines that drive business insights.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions
  • Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow
  • Implement automated data quality checks and monitoring across all data workflows
  • Optimize pipeline performance and cost efficiency through proper resource allocation and scheduling
  • Architect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQL
  • Design optimal data models, partitioning strategies, and clustering for analytical workloads
  • Manage data lifecycle policies and implement automated archival and retention strategies
  • Ensure data security, encryption, and access control across all storage layers
  • Build and optimize BigQuery datasets for analytics and reporting use cases
  • Create and maintain dimensional models and fact tables for business intelligence
  • Implement data marts and aggregation layers for improved query performance
  • Support self-service analytics through proper data cataloging and documentation
  • Having good knowledge of Dataplex and Analytics hub
  • Integrate data from various sources including databases, APIs, SaaS applications, and file systems
  • Implement change data capture (CDC) solutions for real-time data synchronization
  • Work with third-party data providers and external data feeds
  • Implement comprehensive monitoring and alerting using Cloud Monitoring and Cloud Logging
  • Troubleshoot data pipeline issues and implement robust error handling mechanisms
  • Maintain data lineage documentation and impact analysis capabilities

Qualifications
Technical Skills

  • GCP Services: 4+ years hands-on experience with BigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud Functions
  • Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development
  • Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts
  • Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases
  • Infrastructure as Code: Experience with Terraform, Cloud Deployment Manager, or similar tools

Professional Experience

  • Bachelor's degree in computer science, Engineering, or related field
  • 6+ years of experience in data engineering or related roles
  • 4+ years of specific experience with Google Cloud Platform
  • Experience with version control systems (Git) and CI/CD pipelines
  • Knowledge of data modelling techniques and dimensional modelling

Preferred Qualifications

  • Google Cloud Professional Data Engineer certification
  • Experience with containerization (Docker, Kubernetes/GKE)
  • Experience with data governance and compliance frameworks (GDPR, HIPAA, SOX)
  • Familiarity with business intelligence tools (Looker, Tableau, Power BI)
  • Experience with streaming technologies beyond GCP (Kafka, Spark Streaming)

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here

Key skills

Required

AirflowBigQueryCI/CDCloud FunctionsCloud StorageData EngineeringData GovernanceFirestoreGitGoogle Cloud Platform (GCP)JavaKafkaMySQLPostgreSQLPower BIPub/SubPythonSQLTableauTerraform

About company

Companies today need to digitize business to compete and scale in the digital economy. To be digital leaders, businesses must invest in digital infrastructure to unlock new opportunities and support their sustainability goals.

Equinix powers digital leaders to fast-track their competitive advantage. We deliver on this
through our platform and global ecosystem of leading service providers—across clouds,
networking, storage, compute and software—and by bringing together foundational
infrastructure, delivered through software and powering interconnected ecosystems.

Job market insights

98active Airflow jobs in Bangalore
70active BigQuery jobs in Bangalore
776active CI/CD jobs in Bangalore
₹14L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 288 posts that show a salary; median ₹18L)
4 more open jobs at Equinix, Inc

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3141 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group157 open jobs
  • Trigent Software Private Limited151 open jobs
  • Brillio115 open jobs

Jobs asking for Airflow in Bangalore also ask for

  • Python73%
  • SQL62%
  • AWS61%
  • Data Engineering47%
  • CI/CD41%

From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Staff - GCP Data Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹14L – ₹25L a year (typical for IT Jobs in Bangalore, 288 posts).

How much experience does this job need?

The post asks for 4 Yrs experience.

Where is this job based?

It is a remote job, listed under Bangalore.

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Equinix, Inc's website. CoreHRx takes you there after you sign in.

This guide is for Indian job seekers preparing for Java backend roles, from freshers facing campus and first-job interviews to experienced developers moving into senior positions at product companies and IT services firms. It covers what interviewers ask most in 2025 and 2026 on Java 17 and 21 and Spring Boot 3: OOP, collections, equals and hashCode, streams, exceptions, concurrency and JVM memory, then dependency injection, auto-configuration, REST controllers, validation, JPA and Hibernate, security, microservices and testing. Questions are grouped as easy, medium and hard. Read each answer, compile the code yourself and practise explaining it aloud.

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