Senior Associate GCP Data Engineer

Equinix · Bangalore Office BLS2

  • Experience2–3 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted29 Sept 2026

About Equinix

Equinix is hiring in Bangalore Office BLS2 in technology software. This role looks for around 2+ years of experience.

Skills

  • Google Cloud Platform
  • BigQuery
  • Cloud Dataflow
  • Cloud Composer
  • Cloud Storage
  • Cloud Pub/Sub
  • Dataform
  • dbt
  • Cloud Functions
  • Python
  • Java
  • SQL
  • Apache Spark
  • Apache Beam
  • Apache Airflow
  • Cloud SQL
  • PostgreSQL
  • MySQL
  • Bigtable
  • Firestore
  • Terraform
  • Git
  • CI/CD
  • Data Modeling
  • Dimensional Modeling

The role

A data engineer at a digital infrastructure company designs and maintains data engineering pipelines and data lake platforms using Google Cloud Platform, Apache Beam, and Apache Airflow, and builds scalable analytical data infrastructure. The role also applies Python and SQL to streaming, warehousing, and dimensional modeling.

Full 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: 2+ 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

2+ years of experience in data engineering or related roles

2+ 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.

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This posting is a new position within our organization.